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Development of Advanced Models in Information Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".

Deadline for manuscript submissions: 20 October 2025 | Viewed by 3089

Special Issue Editors


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Guest Editor
Department of Informatics, University of Economics in Katowice, Katowice, Poland
Interests: information systems analysis & modelling

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Guest Editor
Department of Medical Informatics and Artificial Intelligence, Silesian University of Technology, Gliwice, Poland
Interests: processing multimodal data: images and text

Special Issue Information

Dear Colleagues,

This Special Issue focuses on two fundamental keywords, “model” and “information system”. The concept of the system has been applied by the originators of cybernetics. The general system theory is applied in various disciplines. There are social systems, conceptual systems (i.e., information or knowledge systems), and technical systems. In each of them, the information is included and modeled.

The term “model” is also successfully applied in many different ways in various disciplines of science. As models are physical, mathematical, or conceptual representations, they can be presented using various notations, languages, or techniques. We encourage potential authors to consider, in their proposals, various languages and tools for presenting models. Modifications or combinations of well-known modeling notations are also welcome. Models can be built out of many heterogeneous components. Models can be presented as mathematical equations, diagrams, drawings, graphics, prototypes, layouts, scale artifacts, icons, maps, computer-generated images, computer programs, and computer simulations. Models can be developed by combining different elements, such as equations and images. If authors have considered artificial intelligence/machine learning usage for model construction, development, or validation, they are also invited to submit their research results.

The concepts of models and modeling approaches are widely accepted as being useful for engineering, identification, designing, prototyping, construction, implementation, evaluation, or deliberation on a certain phenomena, idea, event, process, or real object. If authors consider models to be the results or support of a theory, they are requested to explain it in their paper. Models do not provide new interpretations for a given theory; however, they are useful for understanding, extending, or applying theories. 

The most important issue is the practicality of the proposed models; hence, authors are strongly requested to explain how their models are used in practice. Authors can use various empirical methods, i.e., proof of concept, experiments, experimental simulations, case studies, agile practices, artificial intelligence usage, or systematic literature reviews, to reveal their model’s applications. 

Recommended topics include, but are not limited to, the following:

  • Conceptual models;
  • Modeling for information system lifecycle management;
  • Modeling for cyber–physical systems for systems development and implementation;
  • The practice of system modeling;
  • Model-driven engineering;
  • Digital ecosystem modeling;
  • Enterprise architecture frameworks and models;
  • Low-code modeling;
  • Modeling in processes, from the requirements to coding;
  • Applications of predictive, explanatory, exploratory, and prescriptive models;
  • Languages, tools, and notations for information systems modeling.

Prof. Dr. Małgorzata B Pankowska
Prof. Dr. Dominik Spinczyk
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • conceptual models
  • pragmatism of modeling
  • practice of modeling
  • digital ecosystem
  • cyber–physical systems
  • enterprise architecture
  • model-driven engineering

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Published Papers (3 papers)

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Research

26 pages, 2245 KB  
Article
Pattern-Based Automation of User Stories and Gherkin Scenarios from BPMN Models for Agile Requirement
by Daniel Mateus, Denis Silva da Silveira and João Araujo
Appl. Sci. 2025, 15(17), 9434; https://doi.org/10.3390/app15179434 - 28 Aug 2025
Viewed by 443
Abstract
This study enhances agile development by integrating BPMN modeling with automated functional requirements elicitation. It focuses on extracting user stories and Gherkin scenarios from BPMN process models using transformation patterns and templates. A tool was developed to automate this process, validated through qualitative [...] Read more.
This study enhances agile development by integrating BPMN modeling with automated functional requirements elicitation. It focuses on extracting user stories and Gherkin scenarios from BPMN process models using transformation patterns and templates. A tool was developed to automate this process, validated through qualitative expert evaluation, confirming its utility and accuracy. The approach enhances organizational communication and collaboration between business and information technology teams, improving efficiency in requirements elicitation. Future enhancements aim to broaden transformation patterns and tool functionalities to encompass additional BPMN artifacts. This study emphasizes innovation in bridging business process modeling and agile development, highlighting advancements in automating requirements elicitation. Full article
(This article belongs to the Special Issue Development of Advanced Models in Information Systems)
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16 pages, 2559 KB  
Article
Standardized Pathology Assessment Template Design
by Małgorzata Pańkowska, Mariusz Żytniewski, Mateusz Kozak and Krzysztof Skowron
Appl. Sci. 2025, 15(17), 9365; https://doi.org/10.3390/app15179365 - 26 Aug 2025
Viewed by 596
Abstract
Information system design and implementation require generally accepted norms, principles, and standards. Lately, the challenge for achieving a high degree of general acceptance has increased with the presence of formal governance structures. Compliance with norms for information system development depends on the shared [...] Read more.
Information system design and implementation require generally accepted norms, principles, and standards. Lately, the challenge for achieving a high degree of general acceptance has increased with the presence of formal governance structures. Compliance with norms for information system development depends on the shared recognition of regulations and standards. The research problem in this study concerns standards and their role in the development of a pathology laboratory information system. In this paper, in the theoretical background section, the authors present regulations, standards, and disease classification, which are necessary for planning the pathology laboratory information system. Next, in the template design project section, the authors focus on development of a new, ontology-based, and standard-oriented approach for elaboration of a standardized template of the pathological assessment of histopathology material. Authors use the World Health Organization (WHO) ICD-11 classification to elaborate on that template, which permits the precise coding of diagnoses and medical procedures. The main findings concern the proposed ontology-based document template, which can further be used in the Laboratory Information Management System (LIMS), and as such can be considered a pattern for the development of other LIMS documents. In conclusion, the authors emphasized the standardized method application for designing and implementing medical documents. This original contribution concerns the assessment template design based on existing ontologies ICD-10 and ICD-11. Full article
(This article belongs to the Special Issue Development of Advanced Models in Information Systems)
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18 pages, 465 KB  
Article
From Struggle to Mastery: AI-Powered Writing Skills in ESL Education
by John Jairo Jaramillo, Andrés Chiappe and Fabiola Sáez Delgado
Appl. Sci. 2025, 15(14), 8079; https://doi.org/10.3390/app15148079 - 21 Jul 2025
Viewed by 1662
Abstract
Despite reaching intermediate English proficiency, many bilingual secondary students in Colombia struggle with academic writing due to difficulties in organizing ideas and expressing arguments coherently. To address this issue, this study explores the integration of AI-powered tools—Grammarly and ChatGPT—within the Writing Workshop Instructional [...] Read more.
Despite reaching intermediate English proficiency, many bilingual secondary students in Colombia struggle with academic writing due to difficulties in organizing ideas and expressing arguments coherently. To address this issue, this study explores the integration of AI-powered tools—Grammarly and ChatGPT—within the Writing Workshop Instructional Model (WWIM) to enhance students’ writing skills. Conducted at a bilingual secondary school, the intervention targeted 10th grade ESL learners and focused on improving grammar accuracy, textual coherence, and organizational structure. Drawing on Galbraith’s model of writing as content generation, the study adopted a design-based research methodology, incorporating iterations of implementation, feedback, and refinement. The results indicate that combining WWIM with AI feedback significantly improved students’ academic writing performance. Learners reported greater confidence and engagement when revising drafts using automated suggestions. These findings highlight the pedagogical potential of integrating AI tools into writing instructions and offer practical implications for enhancing academic writing curricula in secondary ESL contexts. Full article
(This article belongs to the Special Issue Development of Advanced Models in Information Systems)
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