Making Multiagent System Designs Reusable: A Model-Driven Approach

Warwas, Stefan; Klusch, Matthias

doi:10.1109/wi-iat.2011.118

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…For example, the A1 approach can handle Java, JEE (including JSP), and XML [12]. The A3 approach can reverse engineer Java and multi-agent systems developed in Jadex [17]. The A29 and A31 approaches support Java and other programming languages, such as C and C++.…”

Section: A: Sources Of Model-driven Reverse Engineering Approachesmentioning

confidence: 99%

“…For GUIs, the A22 approach extracts a Finite State Machine (FSM) model to depict the behaviour of GUIs from the source code of applications, while the A43 approach acquires GUI models and task models. In the case of multiagent systems, the A3 approach processes source code to extract the design of Belief, Desire, Intention (BDI) agents, enabling the reusability of multiagent system designs [17].…”

Section: Evaluations References Case Studymentioning

confidence: 99%

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Model-Driven Approaches for Reverse Engineering—A Systematic Literature Review

Siala,

Lano,

Alfraihi

2024

IEEE Access

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Many organizations depend on software systems to accomplish their daily tasks, but these systems need to be maintained and evolved to cope with various changes and requirements. Before starting to maintain and evolve software systems, it is necessary to understand them. Reverse engineering plays a crucial role in comprehending various aspects of software systems by extracting different models and diagrams that represent the structure and behaviour of software systems. This article presents a systematic literature review (SLR) to understand the current state of research in model-driven engineering (MDE) for reverse engineering software systems. The considered articles came from five electronic databases (Scopus, IEEE Xplore, Web of Science, ACM Digital Library, and Google Scholar), and were supplemented by additional articles recommended by experts and provided by manual snowballing. From 538 surveyed papers, 83 principal studies were selected, which present the main characteristics of 64 model-driven reverse engineering (MDRE) approaches. These approaches are analyzed and evaluated based on their objectives and characteristics. Additionally, research gaps and areas where more research is needed are also identified. Therefore, the review provides comprehensive answers to several widely interesting questions for researchers and practitioners who are considering using MDRE.INDEX TERMS Application program, legacy system, model-driven reverse engineering (MDRE), modeldriven re-engineering, software application.

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Section: A: Sources Of Model-driven Reverse Engineering Approachesmentioning

confidence: 99%

Section: Evaluations References Case Studymentioning

confidence: 99%

Model-Driven Approaches for Reverse Engineering—A Systematic Literature Review

Siala,

Lano,

Alfraihi

2024

IEEE Access

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“…A semi-automatic approach for MDRE is expressed in [18] by S Warwas et al Authors intended to reverse engineer the PIM level design of BDI (Belief, Desire, Intention) form multi-agent based systems. They used a domain specific modeling language for multi-agent-systems (DSML4MAS) to depict agent's artifacts as models.…”

Section: A Model Driven Reverse Engineering Approachesmentioning

confidence: 99%

“…TABLE 6 gives a description of this comparison. In MDRE approaches [6], [18], [20], [22], researchers focus on MDRE of structures of source artefacts only. As we defined earlier, the complete or full MDRE approaches comprise of modeling both structure as well as behavior from legacy system's source code are hard to find in the literature'.…”

Section: Comparative Analysismentioning

confidence: 99%

A Model Driven Reverse Engineering Framework for Generating High Level UML Models From Java Source Code

et al. 2019

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Legacy systems are large applications which are significant in performing daily organizational operations and cannot be upgraded easily especially in the absence of architectural and design documentation. Software modernization is an emerging field of software engineering, which transforms the legacy systems into new one according to the specified requirements of stakeholders. It mainly deals with improving the architecture, features, rules and data sources of existing system. It always remained a challenging task to achieve high-level representation of legacy systems. In order to achieve this high-level representation, Reverse Engineering (RE) plays an integral role. The issues of traditional RE are overcome with the help of Model Driven Reverse Engineering (MDRE) such as it generates model-based view of the legacy systems, which is comprehensible and easy to understand for practitioners. MDRE is an active research area but it provides limited tool support to extract and model both structural and behavioral aspects of legacy systems. In this paper, a novel MDRE framework named as ''Source to Model Framework (Src2MoF)''is proposed to generate Unified Modeling Language (UML) structural (class) and behavioral (activity) diagrams from the Java source code. Src2MoF is based on the principles of Model Driven Engineering (MDE), which use models as first-class citizens alleviating the complexity of software systems. The contributions of this paper are as follows; first, an Intermediate Model Discoverer (IMD) is developed using source code parser to get the intermediate representation of the system from the existing Java code. Second, an open source transformation engine named ''UML model generator'' is implemented using Java, which takes these intermediate models as input, and produce high-level UML models of the subject legacy system. Finally, the two benchmark case studies are presented to depict the relevance and usability of Src2MoF. INDEX TERMS Model driven reverse engineering, reverse engineering, UML models, legacy systems, java code.

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