Advances in Information System Analysis and Modeling (AISAM)

Dear Colleagues,

Information system analysis and modeling is a research field in which analysts continually create and implement new modeling frameworks, languages, techniques, software tools, and research methods. System analysis aims to support information system development more effectively, efficiently, and reliably. All information systems development projects move through the same phases of planning, analysis, design, implementation, deployment, and maintenance. 

In all these phases, project stakeholders focus on system artifact conceptualization, modeling, design, implementation, and evaluation. Analysts are needed to elicit or gather requirements, model the business needs, and create blueprints for how the system should be built. Information systems are always developed and implemented in a certain context. Therefore, analysts are also asked to consider the social, economic, legal, and technology contexts. These contexts can also be a subject of modeling. 

Today, the cost of developing modern information systems is composed primarily of the cost associated with the development activity and not the infrastructure and computers in which these systems will be deployed and operated. Therefore, the proposed approaches of analysis and modeling are required to include this cost-optimization aspect or controlling these costs. Beyond, information systems development and operations (IS DevOps) is also considered an area of interest since analysis and design activities should be aligned with operation decisions to facilitate the continuous delivery of value to customers in order to respond to the continuously changing requirements and needs. 

Traditionally, information system analysis and modeling focus on the development of transactional information systems. However, the increasing volume and complexity of business data is driving the adoption of business intelligence, artificial intelligence, machine learning, and digital analytics, which need to be smoothly integrated in the whole process of actual information systems development. Therefore, this Special Issue will also pay special attention to how all these emerging AI-based trends affect information system analysis and modeling and how they can be used toward more affective decision making along system development activities and during system operation and maintenance. 

Our Special Issue, therefore, reflects that information system analysis and modeling is a critical phase in the development life cycle and that information management, given the exponential growth in volume and complexity, is a current challenge that needs to be addressed from the early phases of the development. 

This Special Issue invites papers covering a wide range of topics, from system requirement conceptualization to system analysis, design and operations, as well as maintenance and reverse engineering. 

We will accept papers for peer review in the following areas of interest:

• System analysis methodologies, frameworks, and languages;
• Requirement engineering;
• Orientations in system analysis and modeling;
• System analysis for business intelligence, digital analytics, machine learning, e-business systems;
• System analysis in reverse engineering
• Analytical thinking and problem solving
• Information systems development and operations (IS DevOps)

Prof. Dr. Malgorzata Pankowska
Prof. Dr. Emilio Insfran
Guest Editors

Manuscript Submission Information

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