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Article

An Analysis of the Features of Requirements Engineering Tools

by
Mert Ozkaya
1,*,
Geylani Kardas
2 and
Mehmet Alp Kose
3
1
Computer Engineering Department, Yeditepe University, Istanbul 34755, Turkey
2
International Computer Institute, Ege University, Izmir 35100, Turkey
3
Independent Researcher, Istanbul 34710, Turkey
*
Author to whom correspondence should be addressed.
Systems 2023, 11(12), 576; https://doi.org/10.3390/systems11120576
Submission received: 7 October 2023 / Revised: 7 December 2023 / Accepted: 11 December 2023 / Published: 15 December 2023
(This article belongs to the Section Systems Engineering)
Browse Figures
Versions Notes

Abstract

:
Many requirements engineering tools have been developed for gathering, documenting, and tracing requirements that can even be further processed for such purposes as analysis and transformation. In this study, we analysed 56 different requirements engineering tools for a comprehensive set of features that are categorised into multiple viewpoints (i.e., project management, specification, collaboration, customisation, interoperability, methodology, and user-support). The analysis results led to many interesting findings. Some of them are as follows: (i) the project planning and execution activities are rarely supported, (ii) multi-user access and versioning are highly supported, (iii) the most popular specification technique is natural languages, while precise specification via modeling languages is rarely supported, (iv) requirements analysis is rarely supported, (v) requirements transformation is considered for generating documents only, (vi) tool customisation via the tool integration and API support is highly popular, while customising the notation set is rarely supported, (vii) exchanging requirements is popular in such standards as ReqIF and Excel/CSV, while no single standard is accepted by all the tools, (viii) agile development is very common, while other methodologies (e.g., MDE and SPLE) are rarely supported, and (ix) user-guides, telephone, e-mail, and videos are the most preferred methods for user-support. The analysis results will be useful for different stakeholders including practitioners, tool vendors, and researchers.

1. Introduction

A requirement is considered as a statement that needs to be agreed to by all the stakeholders and contributes to solving customers’ problems [1,2,3]. Each requirement describes either what the system to be developed is expected to perform or any constraints on the system design and development (e.g., quality and platform constraints). Requirements engineering has been proposed as a branch of software engineering that promotes the application of well-known techniques, practices and methods for eliciting, documenting, and analysing requirements [4,5,6,7]. With requirements engineering, the goal is to maximise the quality of requirements that will affect the subsequent stages of software development. This involves such activities as understanding the customers’ needs completely and correctly, specifying requirements precisely in a verifiable way to avoid any issues (e.g., incomplete and inconsistent requirements), and associating requirements with other artefacts (e.g., test-cases and system architectural components). It should be noted that failing to apply the activities of requirements engineering may lead to wrong systems being developed. Indeed, many software projects fail because of the ill-defined application of the requirements engineering practices [8,9,10].
To perform the requirements engineering activities effectively, several tools are available on the market through which the requirements for any systems can easily be specified and managed collaboratively throughout the project’s lifecycle. Requirements engineering tools offer diverse features, including project management facilities, requirements traceability, automated analysis, document generation, test-scenario generation, multi-user collaboration, and importing/exporting using the ReqIF standard [11], an API support for customising the tool.
While tens of different requirements engineering tools are available, the literature lacks any resources that can be used for determining the existing requirements engineering tools, understanding the tools’ support for a number of important features, and comparing the tools with each other. As discussed in Section 5, the existing studies that attempt to compare the requirements engineering tools either ignore many of the existing tools, focus on a small set of features, or consider just the tools in particular domains (e.g., tools for natural language processing).
Therefore, in this paper, we aim to discuss the results of our literature review on the analysis of 56 different requirements management tools with the considerations of a comprehensive set of tool features. We categorised the features that we considered into multiple viewpoints: project management, specification, collaboration, customisation, interoperability, methodology, and user-support. The project management viewpoint is concerned with the support for initiating, planning and executing the projects. The specification viewpoint is concerned with the technique(s) supported for specifying requirements (e.g., natural languages and modeling languages), the support for analysing requirements automatically, and the support for transforming requirements into useful artefacts (e.g., code and test scenarios). The customisation viewpoint is concerned with customising and extending the requirements engineering tools for the specific user needs. The interoperability viewpoint is concerned with the support for importing/exporting the requirement specifications between different tools. The methodology viewpoint is concerned with the support for any well-known software development methodologies that can facilitate the requirements engineering activities such as agile development, product-line engineering, and model-based engineering. Lastly, the user-support viewpoint is concerned with supporting users in their tool usages through which the learning curve can be minimised.
The analysis results discussed in our paper are believed to provide invaluable guidance for the stakeholders who are involved in the requirements engineering. Indeed, while the existing literature includes some review studies on the requirements engineering tools, none of those studies consider as many tools and focus on as many tool features as we do in our review study here. Also, our review is further unique with its consideration of several interesting viewpoints, such as project management, interoperability, different methodologies of software development, and user-support, each of which is represented with a cohesive set of features. We strongly believe that stakeholders can gain some interesting insights from the review results about the requirements engineering and the tool support. Practitioners in the industry may use the analysis results to identify many of the existing requirements engineering tools, observe their weak and strong points in terms of the practical set of features, compare different tools, and choose the ones that best meet their needs. Tool vendors can use the results to understand to what extent their tools satisfy different principal concerns for requirements engineering and any gaps that can be improved. Researchers in the field of requirements engineering can conduct further empirical studies on such concerns as understanding practitioners’ perspectives towards the requirements engineering tools, analysing a subset of tools for a particular viewpoint, comparing different types of tools for the requirements engineering, etc.
In the rest of the paper, we firstly give the research methodology that we applied in our study. Then, we discuss the analysis results of the 56 different tools for a set of viewpoints. Then, we give the summary of findings and the lessons learned, which are followed by the discussions of any threats to the validity of the analysis results.

2. Research Methodology

2.1. Review Protocol

We performed our literature review using the PRISMA guidelines [12] and applied the checklist provided by PRISMA for systematic review1.
Conforming to the PRISMA guideline’s introduction section, we previously discussed the motivation and objectives of our review study (see Section 1). In this section, we first describe how we conducted the review according to the PRISMA method’s definitions. In Section 2.2, we give the search strategy. In Section 2.3, we give the eligibility criteria. In Section 2.4, we discuss the very first stage of the data collection process according to PRISMA specifications and define the set of features for which we collect data about the tools. Then, in Section 2.5, we explain how we keep the data sources for each tool and the protocol that we follow for analysing the data sources. We also discuss in Section 2.5 the risk of any biases due to the different reviewers contributing to the data collection process. Lastly, in Section 2.6, we discuss how we synthesise the collected tool data for reaching interesting findings.
Later, in Section 3 and Section 4, we discuss the results that we reached through our syntheses of the tool data and indicate the implications of our results and any lessons learned with our study, respectively, again by following the PRISMA guideline.

2.2. Search Strategy

In this section, we discuss the search strategy that we followed for reaching as many requirements engineering tools as possible. We discuss the search scope (i.e., the search period and search platform), search method (i.e., manual/automated search), and search query (i.e., the strings used for searching tools) subsequently.

2.2.1. Search Scope

In this review study, we aimed to search for the requirements engineering tools that can be accessible via the popular search engine Google. We performed our tool search via Google between March 2023 and June 2023.

2.2.2. Search Method

We used the Google search engine manually so as to reach as many tools as we could. That is, we firstly used Google with the general search query given in the next section and scanned through all the pages that Google returned manually. We performed the same for each specific search query given in the next section. Moreover, we performed snowballing in our search as we scanned through the web pages that Google returned and gave a list of the requirements engineering tools. Table 1 gives the list of those web pages.

2.2.3. Search String

To find the requirements engineering tools, we initially used following general search query: (“requirements”) AND (“engineering” OR “management” OR “specification” OR “modeling”) AND (“software” OR “tool” OR “technology” OR “platform” OR “language”). Besides, we also used several specific queries that are related to the features for which the tools are to be analysed. These include “requirements engineering tools/platforms”, “requirements management tools/platforms”, “requirement modeling tools/platforms”, “requirement tools/platforms”, “requirements modeler”, “SDLC tools”, “modeling tools/platforms”, “software specification tools/platforms”, “agile requirements management”, “agile requirements tools”, “model-driven requirements management”, “model-driven engineering tools”, “product line requirements management”, and “product line engineering tools”.

2.3. Eligibility Criteria

Figure 1 shows the PRISMA flow diagram2 that depicts the eligibility criteria for the requirements engineering tools that we identified using the search strategy discussed above. It is worth indicating that among four different variations of PRISMA flow diagrams, we preferred and exactly followed the one here, which is specific for the new systematic reviews including searches of databases and registers only. Therefore, we managed to obtain 200 different modeling tools in total and then eliminated 10 tools as they were essentially the duplicates of some other tools. Among the remaining 190 tools, we eliminated 25 tools as we were not able to reach their websites. We further excluded any tools that did not provide direct support for managing software requirements (e.g., the modeling tools that support UML modeling). We also excluded any tools for which we were not able to reach any download link for a trial version, available resources (e.g., user manual, white papers, case-studies, publications, etc.), and an online editor. Thus, we ended up with a list of 56 different tools, given in Table 2, which we can analyse for the features of interest.

2.4. Identifying the Tool Features

Our data collection process started with identifying the tool features for which the tool data were to be collected.
To determine the features for which the requirements engineering tools shown in Table 2 can be examined, we used the results of our past relevant studies in the field. Indeed, in [13], we surveyed among 84 practitioners from diverse industries to understand the practitioners’ perspectives on the requirements engineering. The survey results helped us understand the practitioners’ motivations for the requirements engineering, the techniques and technologies used for different activities of requirements engineering, practitioners’ experiences with customer involvement, and their challenges. In another study [14], we analysed 58 UML modeling tools for a number of tool features that are considered important for the practical use of the UML tools, which are modeling viewpoints, analysis, transformation and export, collaboration, tool integration, scripting, project management, and user-support. Also in [15], we analysed 124 different modeling languages for a comprehensive set of features, which are multiple viewpoints, non-functional properties, notation sets, formal semantics, extensibility, programming framework, automated analysis, large-view management, collaboration, versioning, and user-support. Thus, we essentially went through (i) a high number of different feature candidates that we addressed in our previous related studies and (ii) the survey results on the practitioners’ perspectives. Finally, we filtered our existing feature set with regard to the relevance to the requirements engineering and ended up with a subset of features that could be used for better understanding and comparing the existing requirements engineering tools and reaching important findings. To facilitate the understandability, we categorised the features that we focused on into multiple viewpoints, which are project management, collaboration, requirements specification, customisation, interoperability, methodology, and user-support. Within this context, it is worth indicating that it could be an option to benefit from only a set of standard features existing for the requirement engineering tools (as successfully utilized in various previous studies such as [16]). However, in our study, we prefer considering both these existing standard features that vary from requirement engineering definition to requirement management as well as defining new ones to cover other aspects, such as applied software engineering methodology and tool customization, which we believe have significant effects on the planned tool evaluation.

2.4.1. Project Management

Project management is considered a highly important factor for the effective management of requirements, and the proper support for managing projects needs to be considered for requirements engineering [17,18,19]. With the project management viewpoint, we focus on three project management stages, which are project initiation, project planning, and project execution [20]. Project initiation can be considered as the first stage of project management and is concerned with the activities that are performed once the project is approved, including defining the problem, solution, and scope in detail, assigning project manager and creating teams, and organising a physical area. Project initiation is followed by the project planning, which is concerned with drawing a Gantt chart for planning the tasks and their dependencies, and other issues such as resource planing, budget planning, staff planning, and risk planning. Project execution is concerned with the stage where the project plans are realised and any progresses are reported.

2.4.2. Collaboration

With the collaboration viewpoint, we focus on the capability of multiple users using the same tool with different access rights collaboratively. We consider the collaboration support in terms of multi-user access, user role definitions, user-access right definitions, and requirements versioning. The multi-user access support enables multiple users to access the same project and manage the requirements together at the same time. The support for the user roles enables the definition of the roles of the users such as customer, analyst, system engineer, developer, manager, etc. The support for the user-access right enables the restriction of user access in such ways as read-only access, edit access, authorisation, etc. The support for versioning enables different versions of the requirements to be kept in a repository where different versions can be accessed, compared, and even deleted by the users.

2.4.3. Requirement Specifications

With the requirements specification viewpoint, we are concerned with the specification of requirements, the analysis of requirements specifications, and the transformation of requirements specifications into some useful artefacts such as code, test scenarios, and documentation.
For the requirement specifications, we consider three important techniques suggested by Taylor et al. [21]—natural languages, boxes-and-lines, and modeling languages. Natural languages and boxes-and-lines essentially represent the informal techniques for specifying requirements and promote any stakeholders without technical knowledge to be involved in the requirements specification process. While natural languages may be used via some structured templates to enhance the precision and facilitate the requirements analysis, the pure (i.e., unstructured) use of natural languages (or boxes-and-lines) can indeed lead to ambiguous specifications that are interpreted differently by different stakeholders due to the lack of precise definitions (i.e., syntax and semantics).
Another method for specifying requirements is modeling languages. Modeling languages can be supported with precise (and sometimes formal) definitions (i.e., syntax and semantics) and thus enable the nonambiguous communications of requirements among stakeholders. Also, with some modeling tool support, it can be easier to analyse the requirement specifications and even generate executable code and test scenarios. Modeling languages can be general-purpose (e.g., UML [22], SysML [23], and BPMN [24]) or domain-specific (e.g., AADL for embedded systems [25]). Modeling languages are supported by several tools (e.g., UML tools [14] and AADL’s OSATE3), which can aid in specifying requirements, analysing the specifications, and transforming them into code.
Concerning the requirements analysis, we consider the tool support for a predefined set of properties for which the requirement specifications can be analysed: (i) defining new (i.e., user-defined) properties for which the requirements specifications can be analysed, (ii) simulating (i.e., executing) the requirement specifications, and (iii) completeness and consistency checks [26]. The requirement consistency here can be used to check if two requirements conflict with each other (e.g., implying the same functionality), while the requirement completeness can be used to check if all the requirements are specified and each requirement is specified with no missing information.
Concerning the requirements transformation, we consider the support for generating (i) skeleton code from requirements, (ii) test scenarios from requirements, and (iii) documents in different formats (e.g., HTML, PDF, Excel, Word, etc.).

2.4.4. Customisation

Customisation of software systems encourages the changing of the software systems with the least effort possible (e.g., adding new components or replacing/changing an existing component) [27]. Thus, with the customisation viewpoint, we are concerned with learning to what extent the requirements engineering tools support any extensions for the users. By doing so, the requirements engineering tools can be used for some domain-specific problems such as the the analysis of requirements for particular properties and the specification of requirements using a domain-specific notation set.
Inspired from Lago et al.’s approach towards extensibility and customisation [28], we consider customisation in terms of the user-defined modeling viewpoints, integration with external tools, API support, and DSL support. With the user-defined modeling viewpoint support, developers can use the modeling elements supported by the requirements engineering tool and define a new viewpoint in terms of the rules and constraints specific to their concern. Then, users can use their viewpoint definition to specify domain-specific requirements [29]. With the integration support, users can integrate the requirements engineering tools with some external tools that exhibit different capabilities such as test automation, design, simulation, verification, project management, versioning, and repository management. With the API support, users can extend the requirements engineering tools by developing new functionalities. With the DSL support, users can develop their own domain-specific modeling languages for specifying requirement models in terms of domain-specific concepts, relationships, and their symbols. Indeed, some tools can enable the use of the UML profiling mechanism for extending the UML for domain-specific purposes [30].

2.4.5. Interoperability

Interoperability is considered as one of the most important quality attributes of software engineering, and it promotes different tools to work together and exchange information [31,32]. With the interoperability viewpoint, we are concerned with the requirements engineering tools’ capabilities for exchanging the requirements specifications with other tools. That is, we consider the requirements engineering tools’ support for importing/exporting requirement specifications using (i) some commonly used data exchange formats (e.g., MS Word, MS Excel, CSV, XMI, and XML) and (ii) some well-accepted standards (e.g., the ReqIF).

2.4.6. Methodology

Requirements engineering can be facilitated with some software design and development methodologies. Indeed, methodologies such as agile development [33] and model-driven development [34] can aid in facilitating the requirements engineering activities (e.g., specifications, analysis, and transformation) and the application of software engineering principles to better manage requirements (e.g., software re-use, customer involvement, and quality properties). Also, some methodologies, such as product-line engineering [35], are considered with the effective management of requirements.
In our literature review, we focus on three methodologies—i.e., agile, model-driven engineering, and product-line engineering, which are related to the requirements engineering and are highly popular in industry and academia [36,37,38]. The agile methodology promotes the requirements engineering activities to be performed with the involvements of customers in an iterative and incremental way so as to manage any change requests effectively [33,39]. Agile development is supported with such techniques as Scrum, Kanban, and lean management, through which the agile principles can be applied effectively. Model-driven engineering (MDE) promotes specifying abstract models (e.g., requirements models) for different perspectives of system development (e.g., structure, interaction, and behaviour) that can further be processed via tool support (e.g., model simulation, code generation, document generation, and versioning). Software product-line engineering (SPLE) promotes the development of software products that have commonalities (e.g., the same functionalities) and variations. SPLE essentially considers the specifications of the commonalities and variabilities of the products (or parts) composing systems and their requirements. As indicated in [40], requirements engineering has huge importance for SPLE as one needs to determine common and variable set of requirements among the products and perform their effective management.
In this review study, we aim to understand basically if the tools support either of these three methodologies or not. We strongly believe that knowing about the tools that support different methodologies can give useful insights for practitioners and even trigger any future empirical research on requirements engineering tools. Note that for simplicity reasons, we only focus on these three methodologies exclusively. Also, considering our scope on analysing requirements engineering tools in general, we do not present any detailed analysis of the tools for their methodology support.

2.4.7. User-Support

With the user-support viewpoint, we are concerned with the support that the requirements engineering tools provide via their websites so as to reduce the time taken to learn and use the tools. We consider different methods for the user-support, including telephone, e-mail, forum, live-chat, help-desk, user-guide, blog, white papers, mailing lists, case-studies, videos, training, and coaching/consulting.

2.5. Collecting Data

After identifying the tools features, we focused on collecting the tool data for the features of interest.
Firstly, we prepared the data collection repository from which the tool resources can be accessed easily. Thus, we created a repository in a shared drive that consists of a separate folder for each tool. The folder for a tool includes (i) a file that has the website access information for reaching the tool materials, (ii) the tool installation guide documents, and (iii) any publications, user manuals, white papers, case-studies, etc. The repository also includes an MS Excel file for storing the tool data with regard to the viewpoints introduced in Section 2.4.
To collect data for each requirements engineering tool, we used the following data collection protocol. We initially installed and used the tool to see which viewpoint features were supported and how they were supported. If we were unable to reach the tool or could not figure out the support for a particular feature using the tool, we used the resource documents for that tool (e.g., website, user-guides, tutorials, white papers, blogs, and videos). That is, we firstly went through the tool website for any useful information for a particular feature. If we could not find any information available on the tool website, we chose to consult the tool’s supporting documents. If we could not access the information in any documents either, we tried sending an e-mail to the tool vendors as a last resort (assuming that contact information was available on the website). Note that in the case when we were not able to reach any useful information using the existing materials of a tool, we considered that the associated tool did not provide support for that feature. Otherwise, we clearly indicated that the tool supported the viewpoint feature and further gave some precise data about the support provided. In the Excel file created (see the previous paragraph), we kept a record of each tool’s data. The Excel file included a separate sheet for each viewpoint, where 56 different rows (i.e., one for each tool) and as many columns as the number of viewpoint features were defined. Thus, for each tool, we added a record to each sheet of the Excel file.
To minimise any risk of bias on the collected tool data, the data collection protocol discussed above was performed by the three authors independently. Firstly, each author created their own Excel file which included the data that the author collected for the tools individually. Then, a session was held together with all the authors to merge the collected data by the authors into a single Excel file. In this session, the goal was essentially to compare for each tool the data that were collected by the three authors and check if there were any discrepancies. Whenever a discrepancy was detected for a tool, we added the name of the tool and the feature in question (e.g., the import–export support) into a separate list of discrepancies. After analysing the authors’ dataset collected for each tool, we ended up with a complete list of discrepancies. Then, we conducted another session together and considered each discrepancy separately. For each discrepancy, we used the list to identify the name of the tool and the feature in question and discussed what could have caused the inconsistency (e.g., the lack of resources, misinterpretations, etc.). Upon reaching a consensus on the cause, we made a decision on the actions that needed to be taken so as to resolve the issue (e.g., re-examining the existing materials, searching for a new material, contacting the tool vendors, etc.). We also kept the list of discrepancies updated with the actions decided for each discrepancy. One of the authors was chosen to handle the discrepancy list and carry out the agreed actions for each discrepancy in the list. The author made the necessary revisions, documented the changes, and obtained the approval of the other two authors in another short session. Lastly, the merged Excel file was updated and finalised accordingly4.

2.6. Synthesising Data

After collecting and analysing the data, we focused on synthesising the data so as to obtain some important findings about the requirements engineering tools’ support for a comprehensive set of features. That is, we created a table for each viewpoint (i.e., the related set of features) using the MS Excel office tool; thus, the data for the tools that support the features of the viewpoint in question are displayed in a tabular format. Also, we created some pie charts to indicate some important findings about the tools’ support for the viewpoint features. Note that during the data analysis process, we had also needed to recollect the data about some tools as we determined some ambiguities and inconsistencies.

3. Results

In this section, we discuss the analysis results of the 56 different requirements engineering tools given in Table 2. We consider each viewpoint introduced in Section 2.4 and discuss the tool support for the viewpoint features.

3.1. Project Management

As shown in Figure 2, 46% of the requirements engineering tools support all the features of project management that are considered (i.e., project initiation, project planning, and project execution). A total of 38% of the tools just support the initiation phase of the project, which includes such activities as creating projects and assigning members to the project. However, those tools do not support planning the project tasks with, e.g., a Gantt chart, and the execution stage. A total of 16% of the tools do not provide built-in support for project management. Note that those tools with no built-in support may provide integration with project management tools such as Jira5.

3.2. Collaboration

All the requirements engineering tools enable the multiple users to work together on the same project. The only exception here is ReqChecker. A total of 80% of the tools further support assigning roles to the users and giving them appropriate access rights. The tools that ignore either the specifications of user role or access rights are given in Table 3.
Almost all the requirements engineering tools (93%) support versioning—ScrumWise, RMTrack, and Psoda are the only exceptions. Table 4 shows the requirements engineering tools’ versioning support in terms of the support for built-in central versioning system and the integration with external versioning systems (i.e., GIT, SVN, and Mercurial). Thus, apparently, 74% of the tools supporting versioning provide built-in versioning systems for versioning requirements. The support for the integration with external versioning systems is quite rare (3–25%)—GIT is supported by 25% of the tools, SVN is supported by 20% of the tools, and Mercurial is supported by just 3%. Acunote is the tool that supports all external versioning systems that are considered—GIT, SVN, and Mercurial. Polarion Requirements is the tool that provides an internal versioning system and supports the integration with GIT and SVN at the same time.

3.3. Requirements Specification

As Figure 3 shows, most of the languages (73%) support the informal specifications of requirements using natural languages (e.g., English sentences). A few of those tools (Dimensions RM, Auros IQ, Balsamiq Wireframes, Helix RM, and Jama Connect) supplement the natural languages with simple boxes-and-lines for the requirement specifications.
A total of 25% of the requirements engineering tools given in Table 5 support the precise specifications of requirements using well-known modeling languages, including SysML, UML, and BPMN.
Table 6 shows the requirements engineering tools (36%) that support the analysis of the requirement specifications. Some of the tools that support the requirements analysis require practitioners to use modeling languages that lead to the precise requirement specifications for facilitating the analysability. Those tools are Cameo, Capella, Eclipse Papyrus, Enterprise Architect, Rhapsody, MagicDraw, Innovator for Business Analysts, and Visual Paradigm. The rest of the tools offer the use of the natural languages in some structured format and, thus, enable the analysis of the specifications for some properties. Note that a few of those tools that support the requirement specifications in natural languages (i.e., innoslate, ReqView, SwiftKanban, and Visure Requirements) use artificial intelligence and natural language processing technologies to check the informal requirements in natural languages (e.g., determining ambiguous requirements and similar requirements).
Checking requirements for predefined properties is the most popular feature, satisfied by many of the tools. Also, some of the tools that support predefined properties further enable users to define their own properties. Model simulation support is provided by the tools that essentially enable the precise specifications of the behaviour requirements via some modeling languages (e.g., UML, SysML, and BPMN). The completeness and consistency checks for the requirements are also quite popular. Lastly, Cameo Systems Modeler is the only tool that supports all the analysis properties that are considered.
Table 7 shows that 75% of the requirements engineering tools support the requirements transformation in terms of any of the three features which are code generation, test scenario generation, and document generation. Thus, apparently, almost all of those tools support generating documents from requirement specifications in different formats such as Word, Excel, PDF, and HTML. Code generation from requirement specifications is supported by a few tools only, which are Cameo, Papyrus, Enterprise Architect, MagicDraw, Modelio, and Visual Paradigm. Note that those tools that support code generation are all software modeling and design tools that generate code from precise models specified with modeling languages (e.g., SysML and UML). Test scenario generation from the requirement specifications is supported by a small amount of tools, which are Quality Center—Dimensions RM, Auros IQ, RMsis, SpiraTeam, TopTeam, and CA Agile Requirements Designers.

3.4. Customisation

Customisation is considered in terms of the support for user-defined modeling viewpoints, integration with external tools, API support, and DSL support.
Concerning the user-defined modeling viewpoint, Cameo Systems Modeler, Enterprise Architect, Rational Rhapsody, MagicDraw, Modelio Analyst, and Visual Paradigm are the only tools that enable the users to define their own custom modeling viewpoints for specifying requirements. With those tools, users can reuse and extend the existing concepts from popular modeling languages (e.g., UML and SysML) and define rules and constraints on those concepts. By doing so, users can later consider the viewpoints to address their particular needs and concerns.
Concerning the integration with external tools, most of the requirements engineering tools (87%) support the integration with different types of tools, including test automation tools, project management tools, versioning and repository tools. The exceptions here are Modelio Analyst, OpenProject, ReqEdit, ReqView, RMTrack, CA Agile Requirements Designer, and TopTeam.
Concerning the API support, 70% of the requirements engineering tools offer an API for the users to extend the tools with specific features. Those tools provide websites that guide the user on how to use the API and perform any extensions. Figure 4 shows the tools that offer APIs and those that do not.
Concerning the DSL development support, most of the requirements engineering tools do not support the development of domain-specific languages for specifying requirements. The only exceptions here are some of the tools that support UML—Cameo Systems Modeler, Eclipse Papyrus, Enterprise Architect, Rational Rhapsody, MagicDraw, Modelio Analyst, and Visual Paradigm. Those tools that support UML modeling enable users to benefit from UML’s profiling mechanism for extending UML with domain-specific concepts.

3.5. Interoperability

Interoperability is considered in terms of the support for importing/exporting requirements in different data formats.
Most of the requirements engineering tools (89%) import requirements in different data formats. The top-supported data formats are Excel (32%), CSV (31%), and Word (20%), which are followed by other formats, including XML, XMI, Json, and PDF. Figure 5 shows the tools that support the different data formats for importing requirements.
A total of 77% of the requirements engineering tools enable both importing and exporting requirements specifications in some data formats. The top-supported data format is ReqIF (25%), which is followed by Excel (23%) and CSV (23%). Figure 6 shows the tools that support different data formats for importing/exporting requirements.

3.6. Methodology

We consider three widely-used software development methodologies, which are model-driven engineering, agile software development, and product-line engineering. A total of 70% of the requirements engineering tools support at least one of those three methodologies, and those tools are given in Table 8. Agile software development is highly popular among the requirements engineering tools (52%), enabling the management of requirements using the agile development principles. A total of 32% of the tools support model-driven engineering and enable the specifications of models using modeling languages and performing other facilities such as model validation, model simulation, and model transformation (e.g., generating code from models). Product-line engineering is rarely supported in comparison with agile software development and model-driven engineering—Cameo Systems Modeler, codeBeamer ALM, and MagicDraw are the only tools that support the specifications of software systems with the principles of product-line engineering. Note that none of the requirements engineering tools support all the three methodologies at the same time.

3.7. User-Support

We consider the user-support viewpoint in terms of the requirements engineering tools’ support for telephone communication, e-mail communication, forum, live-chat, help-desk, user guide, blog, white papers, mailing list, case-studies, videos, training, and coaching/consulting. Table 9 shows the related support provided by the requirements engineering tools. Thus, apparently, each tool enables users to access any tool-related knowledge to some extent. Indeed, each tool provides a user-guide for the users to learn how to use the tool. Likewise, most of the tools (73–77%) provide telephone details and e-mail addresses through which users may ask questions. A total of 73% of the tools provide videos for the users to see and learn how to use the tool. Help-desk, training support, and blog resources are also quite popular among the tools (50–57%); however, live-chat, mailing list, and coaching are rarely supported (7–27%).
Enterprise Architect, Rational Rhapsody, Targetprocess, and Visual Paradigm are the tools that support the greatest number of criteria that are considered for the tool-support. Note that none of the tools support all the features that are considered here.

4. Discussion

4.1. Summary of Findings

In Section 3, we analysed 56 different requirements engineering tools for a number of features that are categorised as the project management, specification, collaboration, customisation, interoperability, methodology, and user-support viewpoints. In the remainder of this section, we summarise the key findings from our analysis.
The project management activities are not the priority for many tools. Only 46% of the requirements engineering tools provide built-in support for managing projects in terms of the project initiation, project planning, and project execution activities.
Multi-user collaboration support is provided by almost all the tools. All the requirements engineering tools support multi-user access—except ReqChecker. A total of 78% of those tools further enable the assigning of different roles to users (e.g., editor, reader, developer, tester, manager, etc.) and the configuration of access rights for the user roles.
Most of the tools provide their built-in versioning control system. A total of 74% of the requirements engineering tools provide built-in versioning systems, while the support for external versioning systems (e.g., GIT, SVN, and Mercurial) remains very low.
The most popular requirement specification technique is the natural language. A total of 73% of the requirements engineering tools support the requirements to be specified in natural languages rather than any modeling languages based on precise definitions.
The precise specification of requirements that can easily be processed is rarely supported. A total of 25% of the requirements engineering tools that support software modeling and design enable users to specify requirements precisely using well-accepted modeling languages such as SysML, UML, and BPMN. Using those tools, it is possible to specify requirements precisely, analyse requirements, and further transform the requirements.
Analysing requirement specifications to detect issues is rarely supported. Only 30% of the requirements engineering tools analyse the requirement specifications. While some of those tools enable the model analysis thanks to their support for the precise modeling languages, some tools offer the use of structured natural languages for the requirements specification and analysis. Note that a few tools use artificial intelligence and natural language processing techniques to check the informal requirement specifications in natural languages.
Requirements transformation is mainly considered for generating documents from requirements. A total of 75% of the requirements engineering tools support the requirement transformation, and most of those tools only support generating documents in formats such as Word, Excel, HTML, and PDF. However, generating skeleton code and test-scenarios from requirements are rarely supported.
Tool customisation is highly popular by means of the external tool integrations and API support. A total of 87% of the requirements engineering tools support the integration with many external tools, including the test automation tools, project management tools, and versioning tools. Also, 70% of the tools provide their own APIs through which users can develop their own tool extensions.
Extending the notation set for the requirement specifications is rarely supported. While the tool customisations/extensions are supported by most of the requirements engineering tools, very few of them are capable of extending the notation set for giving the domain-specific requirements (e.g., defining modeling viewpoints and developing DSLs).
Most tools accept requirements in different formats, and Excel/CSV are the most popular formats. A total of 89% of the requirements engineering tools enable the importation of requirements in different data formats including Excel, CSV, Word, XMI, Json, and PDF. The top import formats are Excel and CSV (31–32%), followed by Word (20%).
Many tools support importing and exporting the requirement specifications via the ReqIF, Excel, and CSV data exchange formats. A total of 77% of the requirements engineering tools enable exchanging (i.e., importing and exporting) of the requirement specifications. The top data exchange formats are ReqIF (25%), Excel (23%), and CSV (23%).
The top-supported software development methodology is agile. A total of 52% of the requirements engineering tools enable users to manage their requirements using agile principles and techniques. Model-driven engineering is supported by 32% of the requirements engineering tools, and product-line engineering is supported by just three tools.
User-guide, telephone details, e-mail addresses, and videos are the four most popular methods adopted by the tools for user-support. While all the requirements engineering tools provide user-guide documents, 73–77% of the tools provide telephone details, e-mail addresses, and videos.

4.2. Lessons Learned

Many requirements engineering tools promote the requirements to be specified in natural languages. While using natural languages is important for reducing the learning curve and enabling even nontechnical users to specify their requirements easily and quickly, processing the natural language specifications can be hard. With the use of natural languages, the requirements engineering tools essentially focus on the requirements gathering and documentation rather than the requirements analysis and transformation. Indeed, the natural language processing techniques and technologies are rarely adopted by the tool vendors for the requirements analysis. Note that we also observed a few tools that promote the specifications of requirements using the structured natural languages and therefore enable the requirements analysis.
The tools with software modeling and design support (e.g., Cameo, Visual Paradigm, Magic Draw, and Enterprise Architect) do enable the automated analysis and simulation of requirement specifications and their transformation into skeleton code. However, those tools require users to use modeling languages with precise definitions. Note that while the precision here facilitates the analysability and transformation of models, nontechnical users may not find it easy to learn and use the modeling languages for their requirement specifications.
While the requirements engineering tools enable the tool extensions via external tool integrations and API support, most of the tools ignore extending the notation sets used for specifying requirements (e.g., enabling DSL development). Only a small number of tools enable users to extend the well-known UML language via UML’s profiling mechanism and define a domain-specific notation set. However, it should be noted that domain-specific modeling is highly important in increasing the productivity and maximising the quality of requirements engineering [41]. Indeed, many industries develop their own domain-specific languages using meta-modeling technologies [42,43].
We also learned that most of the requirements engineering tools support importing and exporting the requirements specifications. However, no single standard (e.g., ReqIF) is adopted by all of the tools for the data exchange. Also, none of the tools share any case studies that demonstrate exchange of the requirement specifications between different tools. Another interesting lesson is that while ReqIF is considered a well-regarded standard for exchanging requirements, only 25% of the requirements engineering tools support ReqIF. The rest of the requirements engineering tools support some other formats, including Excel, CSV, and XML.
Most of the requirements engineering tools enable the application of the agile principles and benefit from such techniques as Scrum, Kanban, and lean. While the agile techniques help in managing the projects effectively and developing software systems that meet the customer needs, agile development does not essentially address the important principles of software engineering such as reusability, maintainability, automated code (or test scenario) generation, and early detection of errors. Unfortunately, such methodologies as product line engineering and model-driven engineering that are believed to enhance the software quality are rarely supported by the existing tools.
Software development lifecycle starts with the requirements engineering and continues with other processes to be performed, including design, implementation, and testing under the guidance of some process models (e.g., waterfall, V-model, incremental model, spiral model, etc.) [44]. To develop the right systems correctly, the artefacts produced in the requirements should be linked with the artefacts produced in design and implementation, which enable tracing from requirements to the implementation (and vice versa). While there exist tools that support the gradual development of software systems from requirement specifications to the code generation, the existing tools do not support the full round-trip engineering.
Another lesson is related to the user-support, as many of the requirements engineering tools provide inadequate support for the users to resolve their tool-related concerns. Indeed, given 13 different criteria that are considered for the user-support, more than half of the tools support 6 of those criteria at most, and, therefore, those tools may require some learning curve for the users as the users may not easily figure out how to use the tools and their particular features as they wish.
Among the 56 different requirements engineering tools, a few tools were observed to support the viewpoints and their features in a wider sense. Those tools are Enterprise Architect, MagicDraw, and Visual Paradigm, which essentially support all the viewpoints and most of their features. All the three tools here support the specifications of requirements using de facto modeling languages (e.g., UML, SysML, and BPMN) in a way that can automatically be analysed for the predefined and user-defined properties and further transformed into code and some useful documentation. All the three tools support the tool customisation by enabling the users to define their own requirement specification notation sets via user-defined viewpoints. The three tools all further support the collaborative modeling, project management facilities, and built-in versioning system. Also, while MagicDraw and Enterprise Architect support importing and exporting the requirement specifications in the standard ReqIF format, Visual Paradigm supports XML exclusively.

4.3. Threats to Validity

Internal validity is concerned with causal relationships between the results of the analysis and any independent variable (i.e., cause) that leads to the results [45]. In this study, nonprobabilistic sampling was used and the requirements engineering tools were chosen nonrandomly. That is, the tools to be analysed were sought from the Internet systematically and filtered according to the exclusion criteria as discussed in Section 2.3. In addition, the tools were analysed for various requirements engineering features categorized in seven viewpoints. Derivation and the formalization of these features and composing viewpoints were based on our previous research on understanding practitioners’ experiences in requirements engineering [13].
Three experienced researchers were involved in the analysis of the requirements engineering tools. To minimise any instrumentation biases here, we ensured that the three researchers analysed the same set of tools independently of each other in the same systematic way discussed in Section 2.5. The results obtained from the researchers were compared to detect any inconsistencies in the data analysis.
External validity threats concern the generalizability of the analysis results, that is, the degree to which the examined studies are representative of the reviewed topic [45]. The set of requirements engineering tools analysed in our study may not be representative of the entire set of all available tools; however, this threat was mitigated by an extensive search on the Internet using various keywords, as listed in Section 2.3.
Construct validity relates to how well an analysis helps in achieving the research objective. Our goal was to analyse the capabilities of the existing requirements engineering tools according to the practitioners’ needs. For this purpose, we categorized various requirement engineering features under seven viewpoints and used them during our analysis. The analysed data were compared, existing inconsistencies were determined, and these parts were reanalysed together with all authors until they reached a consensus on them. This method also contributed to minimizing the risk on the construct validity of the conducted research. Additionally, we needed to ensure that all relevant requirement engineering tools were found adequately. For this purpose, well-known terms/concepts related to the requirement engineering tools and platforms were used to create search strings; several search iterations were provided and, hence, the adequate coverage of the all available tools was achieved.
Finally, to minimize the conclusion validity threat, the research methodology of this study was designed and validated carefully to minimize the risk of excluding relevant requirement engineering tools. Benefiting from our previous experience in conducting other analysis studies (e.g., [46]), the search methodology here was formalized and applied in a way such that only a very small number of relevant requirement engineering tools could be missed, and a manageable quantity of irrelevant ones could be included. Furthermore, the findings of the performed analysis were assessed within the context of the set of tool features provided at the beginning of the study.

5. Related Work

In this section, we discuss the similar studies that compare a set of requirements engineering tools for a number of features.
In [47], the authors aimed to provide a guidance for the practitioners on improving their requirement specifications and choosing the right tool(s) to manage the requirements. The authors analysed 13 important requirements engineering tools by observing their practical use in client environments. The authors essentially considered the agile methodologies, collaboration, and test-driven requirements engineering. The authors also provided interesting guidance on how to use the requirements engineering tools.
Taking into account the security support, seven requirement engineering tools were analysed in [48]. Covered features for the analysis were methodology (e.g., model-driven engineering, goal-oriented approach, Secure Tropos), the source of security element, the requirement formality, and the support for the requirements engineering activities (i.e., elicitation, specification, analysis, and verification). The authors essentially pointed out the tools’ weak points in terms of gathering and documenting security requirements in a precise way that can be performed by stakeholders with limited technical knowledge and further validated.
In [49,50], the main motivation was to understand the capabilities of the requirement engineering tools existing so far. The authors surveyed the vendors of 38 different requirements engineering tools. The survey consisted of 146 questions and, with those questions, the tool vendors were expected to rank their tools support for different capabilities. Moreover, the authors performed three separate scenarios to better understand the particular features that are more important for practitioners and the tools’ support for those features.
A total of 58 different UML modeling tools were examined in [14] according to the features (i.e., modeling viewpoints, analysis, transformation and export, collaboration, tool integration, scripting, project management, and knowledge management) that are believed to be important for practitioners. Note, however, that the author here focused on analysing the tools with UML support rather than the tools that support requirements management.
In [51], the authors aimed to analyse 21 different requirements engineering tools for a number of functionality features and their geographical locations and understand the popular tool features and the countries with greater support for the requirements engineering tools. The functionality features were elicitation, specification, analysis, verification, traceability, documentation, graphical representation and tool integration. The authors simply indicated the tools’ support for those features using the yes/no answer style without giving thorough discussions of the features.
The main objective of the analysis made in [52] was the tool support on the requirements management and traceability. Thirteen different requirements engineering tools were analysed, considering features including the automatic link detection, automatic link creation/change, coverage analysis support, documentation support, graphical representation, and tool integration. The authors simply indicated which tools support which of the features using yes/no answers.
In [53], the authors aimed to perform the qualitative analysis of 12 different requirements engineering tools via a number of features and compare the tools for some organisational factors. The features considered here included traceability, analysis, security and accessibility, portability, configuration management, collaboration, change management, usability, and specification. Moreover, the organisational factors included cost, licensing fees, and platform requirements.
The review conducted in [54] aimed at analysing 10 requirements engineering tools with regard to their support for the artificial-intelligence-based requirements gathering and requirements management techniques and activities. However, support of the examined tools according to these features were given only with yes/no style answers (i.e., low, medium, and high) without any thorough discussions of the analysis results or lessons learned.
In [55], the authors aimed to analyse eight different requirements engineering tools, categorised as heavyweight, middleweight, and lightweight tools. The authors focused on a set of features (i.e., traceability, template, graphical representation, tool integration, scalability, and glossary) and analysed each tool to understand how many of those features were supported.
In [56], the authors conducted a survey among 117 students to understand their thoughts on nine highly-used UML modeling tools. The authors focused on understanding, from the perspectives of the students, the main benefits and drawbacks of the tools.
In [57], the authors focused on three requirements engineering tools that support the natural language processing and aimed to analyse and compare the three tools for ambiguity and atomicity. The authors also proposed a framework for a next-generation requirements engineering tool that combines the strengths of the existing tools in terms of the natural language processing.
In [58], the authors aimed to determine the features for analysing the product-line software engineering tools and analyse the existing tools for those features. The authors selected four different tools that support the product-line software engineering and analysed them with regard to three viewpoints (i.e., product-line engineering, management, and technical) which led to 13 different features in total.
Table 10 and Table 11 give the comparisons of the review studies that are discussed above. In Table 10, the review studies are compared with regard to (i) their publication year, (ii) the time period of the tool versions considered, (iii) the number of tools and features considered, (iv) the review type (i.e., systematic or not), and (v) the search strings used to reach the tools. Note that when any information was not reached, it is indicated as “Not given”. In Table 11, the review studies are compared with regard to the support for the feature viewpoints that are considered in our study. Therefore, none of the existing literature review studies analysed such a great number of requirements engineering tools for a diverse set of features in as systematic a way as in our study. Most studies that are considered here are literature review studies that do not perform any systematic reviews of the tools. In addition, our study is distinguished by its consideration of a comprehensive set of tools that are analysed for a comprehensive set of features which are grouped into multiple viewpoints. It should also be noted that, unlike our study, many of the existing studies focus more on understanding the tools that support certain features without collecting and analysing any precise data about those features. For instance, the support for the requirements transformation could be considered more precisely if the requirements transformation was addressed in terms of code generation, test-scenario generation, and document generation, as in our paper. Moreover, some studies just focus on the requirements engineering tools in particular domains rather than considering the tools in general. Our study is further distinguished by its consideration of the project management, collaboration, requirements specification, customisation, interoperability, methodology, and user-support viewpoints, at the same time each of which is addressed with a cohesive set of features.

6. Conclusions

In this study, we analysed 56 different requirements engineering tools for a comprehensive set of features that were categorised into multiple viewpoints (i.e., project management, specification, collaboration, customisation, interoperability, methodology, and user-support). The analysis results revealed many important lessons. Most requirements engineering tools promote the requirements to be specified in natural languages. While using natural languages is important for reducing the learning curve, processing natural language specifications can be very hard (if not impossible). The requirements engineering tools enable the tool extensions via external tool integrations and API support; however, most of the tools ignore the extension of the notation sets used for specifying requirements. Most tools support the exchange of requirements data among different tools; however, no single standard (e.g., ReqIF) is adopted by all of the tools for the data exchange. Most tools support the agile principles and such techniques as Scrum, Kanban, and lean, while any other methodologies, such as product-line engineering and model-driven engineering, that can significantly improve the quality of software development are rarely supported. None of the tools enable round-trip engineering—i.e., receiving requirements in natural languages, specifying and verifying design models, linking requirements with the design models, and transforming all those into test-scenarios and code.
We strongly believe that the results of our literature review can be uniquely used as a reference guide for understanding and comparing the requirements engineering tools in general without being restricted to particular tools and domains. Unlike the existing studies in the literature, our study reveals (i) the greatest number of requirements engineering tools that can be used for specifying requirements in general and (ii) several interesting viewpoints that concern the requirements engineering and are explained by many different tool necessities. Many different stakeholders can, therefore, find the analysis results useful. Indeed, practitioners can use the results to compare the existing requirements engineering tools and find the ones that best meet their needs. Tool vendors can use the results to determine the gaps that can be improved. Researchers can conduct further empirical studies to better understand practitioners’ perspectives and propose new projects that improve the existing requirements engineering tools.
In the future, our first goal is to conduct a series of interviews with a group of developers from diverse industries so as to receive their feedback about the analysis results and validate the lessons learned. We will also design a survey that primarily focuses on practitioners’ challenges regarding requirements engineering tools.

Author Contributions

M.O. conceived and designed the experiments; M.O., G.K. and M.A.K. performed the experiments; M.O., G.K. and M.A.K. analyzed the data; M.O. and G.K. contributed reagents/materials/analysis tools; M.O. and G.K. wrote the paper. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The collected data can be accessed via the link: https://zenodo.org/records/10184749.

Conflicts of Interest

The authors declare no conflict of interest.

Notes

1
PRISMA 2020 checklist: http://www.prisma-statement.org/PRISMAStatement/Checklist (accessed on 15 April 2023.).
2
PRISMA Flow Diagram: http://www.prisma-statement.org/PRISMAStatement/FlowDiagram (accessed on 15 April 2023).
3
https://osate.org/ (accessed on 15 April 2023).
4
The collected data can be accessed via the link: https://zenodo.org/records/10184749 (accessed on 22 November 2023).
5
https://www.atlassian.com/software/jira (accessed on 9 April 2023).

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Figure 1. The PRISMA flowchart diagram for the tool screening and reviewing process.
Figure 1. The PRISMA flowchart diagram for the tool screening and reviewing process.
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Figure 2. The support for the project management.
Figure 2. The support for the project management.
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Figure 3. The requirements specification techniques supported by the requirements engineering tools.
Figure 3. The requirements specification techniques supported by the requirements engineering tools.
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Figure 4. The requirements engineering tools that support API for enabling extension.
Figure 4. The requirements engineering tools that support API for enabling extension.
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Figure 5. The requirements engineering tools that import the requirement specifications in different formats.
Figure 5. The requirements engineering tools that import the requirement specifications in different formats.
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Figure 6. The requirements engineering tools that support importing and exporting requirement specifications in different formats.
Figure 6. The requirements engineering tools that support importing and exporting requirement specifications in different formats.
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Table 1. The webpages that present a list of requirements engineering tools.
Table 1. The webpages that present a list of requirements engineering tools.
NameURLAccess Date
List of requirements
engineering tools		https://en.wikipedia.org/wiki/List_of_requirements_engineering_tools9 April 2023
7 Requirements engineering
tools to make your life easy		https://www.zumvie.com/7-requirements-engineering-tools-to-make-your-life-easy/9 April 2023
10 Best Requirements Management
Tools & Software of 2023		https://thedigitalprojectmanager.com/tools/requirements-management-tools/9 April 2023
Top 20+ Best Requirements
Management Tools		https://www.softwaretestinghelp.com/requirements-management-tools/9 April 2023
13 BEST Requirements Management
Tools & Software (2023)		https://www.guru99.com/requirement-management-tools.html9 April 2023
Software Requirements Engineering
Tools		https://ecomputernotes.com/software-engineering/softwarerequirementsengineeringtools9 April 2023
Top Requirements Management
Tools List		https://blog.testlodge.com/requirements-management-tools-list/9 April 2023
Table 2. The requirements engineering tools.
Table 2. The requirements engineering tools.
ToolWebsiteSupported
Platforms		Open-
Source		Year
Accompa PMwww.web.accompa.comWebNo2009
acunotewww.acunote.com/WebNo2006
Agile Requirements
Designer		www.broadcom.com/products/software/continuous-testing/agile-requirements-designerWeb and On-premiseNo2020
agosense.fideliawww.agosense.com/Web and On-premiseNo2009
Aha!www.aha.io/WebNo2013
Aligned Elementswww.aligned.ch/features/requirement-managementWeb and On-premiseNo2006
Quality Center—
Dimensions RM		www.microfocus.com/en-us/products/dimensions-rm/overviewWebNo2020
Auros IQwww.aurosks.com/WebNo2010
Axosoftwww.axosoft.com/Web and On-premiseNo2014
Azure DevOpswww.azure.microsoft.com/Web and On-premiseNo2005
Balsamiq Wireframeswww.balsamiq.com/Web and On-premiseYes2008
Business Optixwww.businessoptix.com/WebNo2010
Cameo Systems
Modeler		www.3ds.com/products-services/catia/products/no-magic/cameo-systems-modeler/Web and On-premiseNo2014
Capellawww.eclipse.org/capella/On-premiseYes2023
CaseCompletewww.casecomplete.com/WebNo2012
ClickUpwww.clickup.com/Web and On-premiseNo2017
CodeBeamer ALMwww.codebeamer.com/Web and On-premiseNo2002
Cradlewww.threesl.com/cradle/Web and On-premiseNo2015
Doc Sheetswww.docsheets.comWeb and On-premiseNo2000
Eclipse Papyruswww.eclipse.org/papyrusOn-premiseYes2019
Enterprise Architectwww.sparxsystems.com/On-premiseNo2000
Helix RMwww.perforce.com/products/helix-almWeb and On-premiseNo2016
innoslatewww.innoslate.com/Web and On-premiseNo2013
Innovator for
Business Analysts		www.innovator.de/en/On-premiseNo2021
in-STEP BLUEwww.microtool.de/en/products/in-step-blue/Web and On-premiseNo2014
iRisewww.irise.com/Web and On-premiseNo2016
Jama Connectwww.go.jamasoftware.com/Web and On-premiseNo2007
Kovair ALMwww.kovair.comWebNo2006
MagicDrawwww.3ds.com/products-services/catia/products/no-magic/magicdraw/On-premiseNo1998
Matrix ALM/QMSwww.matrixreq.com/en/productWebNo2013
Modelio Analystwww.modeliosoft.com/en/modules/analyst.htmlWeb and On-premiseNo2009
OpenProjectwww.openproject.org/Web and On-premiseNo2012
Orcanoswww.orcanos.comWeb and On-premiseNo2004
PivotalTrackerwww.pivotaltracker.com/WebNo2008
Polarion
Requirements		www.polarion.plm.automation.siemens.com/products/polarion-requirementsWebNo2010
Psodawww.psoda.com/WebNo2008
Rational DOORSwww.ibm.com/docs/en/ermd/Web and On-premiseNo1993
Rational Rhapsodywww.ibm.com/products/uml-toolsOn-premiseNo2011
ReqEditwww.reqteam.com/On-premiseNo2014
ReQtestwww.reqtest.com/WebNo2009
ReqViewwww.reqview.com/Web and On-premiseNo2015
RMsiswww.marketplace.atlassian.com/apps/30899/rmsis-requirements-management-for-jiraWebNo2010
ReqCheckerhttps://reqchecker.eu/On-premiseNo2016
RMTrackwww.rmtrack.com/WebNo2002
Scrumwisewww.scrumwise.com/WebNo2009
SpiraTeamwww.inflectra.com/SpiraTeam/Web and On-premiseNo2006
StoriesOnBoardhttps://storiesonboard.com/WebNo2015
SwiftKanbanwww.nimblework.com/Web and On-premiseNo2011
Targetprocesswww.targetprocess.com/Web and On-premiseNo2006
TopTeamwww.topteamrequirements.comWeb and On-premiseNo1995
Tuleap Enterprisewww.tuleap.orgWeb and On-premiseNo2011
Valispacewww.docs.valispace.com/Web and On-premiseNo2016
Visual Paradigmwww.visual-paradigm.comWeb and On-premiseNo2002
Visure Requirementswww.visuresolutions.com/WebNo2007
Yodizwww.yodiz.comWebNo2010
Xebriowww.xebrio.comWeb and On-premiseNo2018
Table 3. The requirements engineering tools that do not support either user roles or user-access rights.
Table 3. The requirements engineering tools that do not support either user roles or user-access rights.
Requirements Engineering ToolsMulti-User AccessUser RolesUser-Access Rights
acunoteYesNoYes
agosense.fideliaYesNoNo
Balsamiq WireframesYesNoNo
Business OptixYesNoNo
CaseCompleteYesNoNo
Eclipse (IDE) PapyrusYesNoYes
PsodaYesYesNo
ReqViewYesNoNo
ValispaceYesNoYes
OrcanosYesNoNo
XebrioYesNoYes
Table 4. The requirements engineering tools that support versioning.
Table 4. The requirements engineering tools that support versioning.
Requirements Engineering ToolsBuilt-in VersioningGITSVNMercurial
acunoteNoYesYesYes
agosense.fideliaNoYesNoNo
Aligned ElementsYesNoNoNo
Auros IQYesNoNoNo
AxosoftNoYesNoNo
Azure DevOpsNoYesNoNo
Balsamiq WireframesYesNoNoNo
Business OptixYesNoNoNo
Cameo Systems ModelerYesNoNoNo
CapellaNoYesYesNo
CaseCompleteNoNoYesNo
codeBeamer ALMNoYesYesYes
CradleYesNoNoNo
Eclipse (IDE) PapyrusYesYesNoNo
Enterprise ArchitectYesNoYesNo
Helix RMYesNoNoNo
innoslateYesNoNoNo
Innovator for Business AnalystsYesNoNoNo
in-STEP BLUEYesNoNoNo
iRiseYesNoNoNo
Jama ConnectYesNoNoNo
Kovair ALMYesNoNoNo
MagicDrawYesNoNoNo
Matrix ALM/QMSYesNoNoNo
Modelio AnalystYesNoNoNo
OpenProjectYesNoNoNo
PivotalTrackerYesNoNoNo
Polarion RequirementsYesYesYesNo
Quality Center—Dimensions RMYesNoNoNo
Rational DOORSYesNoNoNo
Rational RhapsodyYesNoNoNo
ReqCheckerYesNoYesNo
ReqEditYesNoNoNo
ReQtestYesNoNoNo
ReqViewYesNoYesNo
RMsisYesNoNoNo
SpiraTeamYesNoYesNo
StoriesOnBoardNoYesNoNo
SwiftKanbanNoYesNoNo
TargetprocessNoYesNoNo
Tuleap EnterpriseNoYesYesNo
ValispaceYesNoNoNo
Visual ParadigmYesNoNoNo
Visure RequirementsYesNoNoNo
YodizNoYesYesNo
AccompaYesNoNoNo
CA Agile Requirements DesignerYesNoNoNo
ClickUpNoYesNoNo
Doc SheetsYesNoNoNo
OrcanosYesNoNoNo
TopTeamYesNoNoNo
XebrioYesNoNoNo
Table 5. The requirements engineering tools that support modeling languages for the requirements specification.
Table 5. The requirements engineering tools that support modeling languages for the requirements specification.
Requirements Engineering ToolsModeling Languages
Business OptixBPMN
Cameo Systems ModelerSysML
CapellaSysML
CaseCompleteUML
CradleSysML
Eclipse (IDE) PapyrusUML, SySML
Rational RhapsodyUML, SySML
innoslateLML, SysML
Innovator for Business AnalystsArchiMate, BPMN, SysML
in-STEP BLUEUML, SySML, and natural languages
MagicDrawUML, SysML, BPMN, OWL, OCL, MARTE, SOAML
Visual ParadigmUML, BPMN, ArchiMate, DFD, ERD, SoaML, SysML, CMMN
CA Agile Requirements DesignerFlowchart
TopTeamUML, SysML, BPMN
Table 6. The requirements engineering tools that support the requirements analysis.
Table 6. The requirements engineering tools that support the requirements analysis.
Requirements Engineering
Tools		Pre-Defined
Properties		User-Defined
Properties		SimulationConsistencyCompleteness
agosense.fideliaX
Auros IQX X
Business Optix X X
Cameo Systems ModelerXXXXX
CapellaXXX X
CradleXX XX
Eclipse (IDE) Papyrus X
Enterprise ArchitectXXX
Rational DOORS X
Rational RhapsodyXXX
innoslateX XXX
Innovator for Business AnalystsX
MagicDrawXXX X
ReqEditX
ReqView X
SwiftKanban X
Valispace XX
Visual Paradigm X
Visure RequirementsX X
ReqCheckerX XX
Table 7. The requirements engineering tools that support the requirements transformation.
Table 7. The requirements engineering tools that support the requirements transformation.
Requirements Engineering
Tools		Code
Generation		Test Scenario
Generation		Document
Generation
Aligned Elements X
Quality Center-Dimensions RM X
Auros IQ X
Axosoft X
Azure DevOps X
Cameo Systems ModelerX
Capella X
CaseComplete X
codeBeamer ALM X
Cradle X
Eclipse (IDE) PapyrusX X
Enterprise ArchitectX X
Helix RM X
Rational DOORS X
innoslate X
in-STEP BLUE X
iRise X
Kovair ALM X
MagicDrawX X
Matrix ALM/QMS X
Modelio AnalystX X
OpenProject X
Polarion Requirements X
Psoda X
ReqEdit X
ReQtest X
ReqView X
RMsis XX
SpiraTeam XX
Tuleap Enterprise X
Valispace X
Visual ParadigmX X
Visure Requirements X
Yodiz X
Accompa PM X
CA Agile Requirements Designer XX
Doc Sheets X
Orcanos X
TopTeam XX
Xebrio X
ReqChecker X
StoriesOnBoard X
Table 8. The requirements engineering tools that support different methodologies.
Table 8. The requirements engineering tools that support different methodologies.
Requirements
Engineering Tools		Model-Driven EngineeringAgile Software
Development		Product-Line Engineering
acunoteNoYesNo
agosense.fideliaNoYesNo
Aha!NoYesNo
Quality Center—Dimensions RMModel-driven testingYesNo
Auros IQNoYesNo
AxosoftNoYesNo
Azure DevOpsNoYesNo
Business OptixModel specification and simulationYesNo
Cameo Systems ModelerModel specification and validationNoYes
CapellaModel specification and validationNoNo
CaseCompleteModel specificationNoNo
codeBeamer ALMNoYesYes
CradleModel specification and validationYesNo
Eclipse (IDE) PapyrusModel specification and simulationNoNo
Enterprise ArchitectModel specification, validation,
and transformation		YesNo
Rational RhapsodyModel specification, validation,
simulation, and transformation		NoNo
innoslateModel specification and
simulation		NoNo
Innovator for Business AnalystsModel specificationNoNo
iRiseModel specificationYesNo
Kovair ALMModel specificationYesNo
MagicDrawModel specification, validation,
and transformation		NoYes
Modelio AnalystModel specification, validation,
and transformation		NoNo
OpenProjectNoYesNo
PivotalTrackerNoYesNo
PsodaNoYesNo
ReQtestNoYesNo
RMsisNoYesNo
ScrumwiseNoYesNo
SpiraTeamNoYesNo
SwiftKanbanNoYesNo
TargetprocessNoYesNo
Tuleap EnterpriseNoYesNo
Visual ParadigmModel specification, validation,
simulation, and transformation		YesNo
Visure RequirementsNoYesNo
YodizNoYesNo
Accompa PMNoYesNo
CA Agile Requirements DesignerModel-driven testingNoNo
ClickUpNoYesNo
Doc SheetsNoYesNo
TopTeamModel-driven testingNoNo
Table 9. The user-support facilities provided by the requirements engineering tools.
Table 9. The user-support facilities provided by the requirements engineering tools.
Requirements
Engineering
Tools		Tel.E-mailForumLivechatHelp
Desk		GuideBlogWhite
Paper		M. ListCase StudyVideosTrainingCoaching
acunoteXX XX X
agosense.fideliaXX XXX
Aha!XX X XX
Aligned ElementsXX XX
Quality Center—
Dimensions RM		XXX XXXXX X
Auros IQXX XX
Axosoft X XX
Azure DevOps X XX
Balsamiq WireframesXXX XX X X
Business OptixXX XX X XXX
Cameo Systems
Modeler		X X XX XX X
Capella X X XXXXXX
CaseCompleteXX XX X
codeBeamer ALM X XXX XXXX
CradleXX XXX XX
Eclipse (IDE) Papyrus XX XX XXX
Enterprise ArchitectXXX XX X XXXX
Helix RMXX X XXXX
Rational DOORSX X XXXX XXXX
Rational RhapsodyX X XXXX XXXX
innoslateXX XXXX XX
Innovator for
Business Analysts		XX X XX
in-STEP BLUEXX XXX X
iRise X X X
Jama ConnectX X XXX X
Kovair ALMXX XX X XX
MagicDrawXXX XX XX X
Matrix ALM/QMSX XXXX X
Modelio AnalystXXX X X XXXX
OpenProjectXXX XX XXX
PivotalTracker X XX X X
Polarion RequirementsX XX X X XXX
PsodaXX XX XXX
ReqEditXX XX X
ReQtest X XX X
ReqViewX XX XXXX
RMsisXX XXX X
RMTrakXX XX X
Scrumwise X X X
SpiraTeamXXX XX XX
SwiftKanbanXX XX XXXX
TargetprocessXXXXXXXX XXX
Tuleap EnterpriseX XXX XXXX
Valispace X XXXXX XX
Visual ParadigmXXX XXXX XXX
Visure RequirementsXX XXXX XX
Yodiz XX XXX X
AccompaXX XX XX
CA Agile Requirements
Designer		XXXXXX X XX
ClickUp XXX X X X
Doc SheetsXX XXX X
OrcanosXXXXXXX XXX
TopTeamXX X
Xebrio X XX X X
ReqChecker XX X
StoriesOnBoard X XXX X
Table 10. The comparison of similar studies in the literature from different aspects.
Table 10. The comparison of similar studies in the literature from different aspects.
StudyPublication
Year		Period of
the Tools		Number of
the Tools		Number of
the Features		Systematic
Review		Search String Used
[47]20212017–20211317NoNot given
[48]2013Not given79NoNot given
[49,50]2012Not given3823YesSeven Databases used
(Ian Alexander,
Alarcos Research Group,
INCOSE,
Ludwig Consulting Services,
Qaguild, Volere,
and @WEBO)
[14]2019Not given589NoUML tool, UML toolset,
UML editor, UML modeler,
UML modeling tool,
UML application,
Online UML tool,
UML tool free/commercial,
UML for practitioners
[51]20172002–2017218YesSoftware Engineering Tools,
Elicitation Tools, and
Requirement Management
tool
[52]20112001–2011139NoNot given
[53]2003Not given1213NoNot given
[54]2022Not given1010NoNot given
[55]2022Not given87NoNot given
[56]2019Not given31Student SurveyNoNot given
[57]20162004–201532YesSnowballing the literature
[58]20072005–2007413YesNot given
Our Study20231993–20175620Yessee Section 2.2.3
Table 11. The comparison of similar studies with regard to the viewpoints focused on in our study.
Table 11. The comparison of similar studies with regard to the viewpoints focused on in our study.
StudyProject
Man.		SpecificationCollaborationCustomisationInteroperabilityMethodologyUser-Support
[47]NoNoYesNoYesYesYes
[48]NoYesNoNoNoYesNo
[49,50]YesYesNoNoYesNoNo
[14]YesYesYesYesYesNoYes
[51]NoYesNoYesNoNoNo
[52]NoYesNoYesNoNoNo
[53]NoYesYesNoYesNoNo
[54]NoYesYesNoNoNoNo
[55]NoYesYesYesNoNoNo
[56]NoNoNoNoNoNoNo
[57]NoNoNoNoNoNoNo
[58]NoYesYesNoYesNoNo
Our StudyYesYesYesYesYesYesYes
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Ozkaya, M.; Kardas, G.; Kose, M.A. An Analysis of the Features of Requirements Engineering Tools. Systems 2023, 11, 576. https://doi.org/10.3390/systems11120576

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Ozkaya M, Kardas G, Kose MA. An Analysis of the Features of Requirements Engineering Tools. Systems. 2023; 11(12):576. https://doi.org/10.3390/systems11120576

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Ozkaya, Mert, Geylani Kardas, and Mehmet Alp Kose. 2023. "An Analysis of the Features of Requirements Engineering Tools" Systems 11, no. 12: 576. https://doi.org/10.3390/systems11120576

APA Style

Ozkaya, M., Kardas, G., & Kose, M. A. (2023). An Analysis of the Features of Requirements Engineering Tools. Systems, 11(12), 576. https://doi.org/10.3390/systems11120576

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