A Comprehensive Investigation of Model Driven Architecture (MDA) for Reverse Engineering

Sabir, Umair; Azam, Farooque; Anwar, Muhammad Waseem

doi:10.1145/3178212.3178215

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…The illustration depicts software transformations that immediately shift objects on the left to objects on the right in the directions where they are located. Model transformation involves the procedure that converts one model of a system into another [10]. Reverse engineering is required when learning about a software system would be timeconsuming owing to incomplete, outdated documentation, the complexity of the system, and the maintainer's lack of expertise, which is frequently used to comprehend the structural design and maintain obsolete systems.…”

Section: Methodsmentioning

confidence: 99%

A methodology of automatic class diagrams generation from source code using Model-Driven Architecture and Machine Learning to achieve Energy Efficiency

Sajji,

Rhazali,

Hadi

2023

E3S Web Conf.

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The automated generation of class diagrams is a crucial task in software engineering, facilitating the understanding, analysis, and documentation of complex software systems. Traditional manual approaches are time and energy consuming, error-prone, and lack consistency. To address these challenges, this research presents an automated proposed approach that utilizes Graph Neural Networks (GNNs), a machine learning algorithm, to generate class diagrams from source code within the context of Model Driven Architecture (MDA) and reverse engineering. A comprehensive case study is conducted to compare the results obtained from the automated approach with manually created class diagrams. The GNN model demonstrates high accuracy in capturing the system’s structure, associations, and relationships. Notably, the automated approach significantly reduces the time required for class diagram generation, leading to substantial time and energy savings. By advancing automated software documentation, this research contributes to more efficient software engineering practices. It promotes consistency, eliminates human errors, and enables software engineers to focus on higher-value tasks. Overall, the proposed approach showcases the potential of GNNs in automating class diagram generation and its practical benefits for software development and documentation.

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Section: Methodsmentioning

confidence: 99%

A methodology of automatic class diagrams generation from source code using Model-Driven Architecture and Machine Learning to achieve Energy Efficiency

Sajji,

Rhazali,

Hadi

2023

E3S Web Conf.

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show abstract

“…Master/Detail Screen pattern and also Quick look pattern have actually been recommended as possible solutions for multipage master/detail partnerships on the existing WA.  Authors of the paper [18] have actually concentrated on the reverse engineering process which is defined to represent the pertinent information from the legacy web system. They have outlined their activities into three main actions: the very first one is the removal of technology-dependent details from the existing system, the second one is the generation of a model satisfied our MVC metamodel and lastly the transformation of this model towards a MDWE method.…”

Section: Related Workmentioning

confidence: 99%

The Reverse Engineering of a Web Application Struts Based in the ADM Approach

Elotmani¹,

Esbai²,

Atounti³

2020

Int. J. Onl. Eng.

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<p>Since web technologies are constantly evolving, the adaptation of legacy web applications to new paradigms such as rich internet applications (RIAs) is become a necessity. In such tendencies, we notice that several web leaders has already migrated their web applications to RIAs. However, it faces many challenges due to the variety of frameworks. Nevertheless, and in order to facilitate the process of migration, it would be ideal to use tools that could help automatically generate or ease the generation of UML (Unified Modeling Language) models from legacy web application. In this context, novel technical frameworks used for information integration and migration processes such as Architecture-Driven Modernization Task Force (ADMTF) were fashioned to describe specifications and promote industry accord on the modernization of existing applications. In this paper, we propose a process for migrating application from Struts to UML model using ADM standards and MoDisco. We then present a case study as an example illustrating the different steps of the proposed process. We then validated the proposition within Eclipse Modelling Framework since a number of its tools and run-time environments are indeed aligned with ADM standards.</p>

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“…Authors intended to discover Java models from Java source code. The most prominent approaches so far, discussed the extraction and assessment of structural aspects from the source artefacts but there is a limited support of tooling [8]. Nevertheless, researchers aimed to cover the gap of extraction and assessment of behavioral aspects from the source artefact, yet there is no tool or technique available for MDRE to facilitate both structural and behavioral aspects of legacy system using UML models.…”

Section: Introductionmentioning

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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A Comprehensive Investigation of Model Driven Architecture (MDA) for Reverse Engineering

Cited by 3 publications

References 19 publications

A methodology of automatic class diagrams generation from source code using Model-Driven Architecture and Machine Learning to achieve Energy Efficiency

A methodology of automatic class diagrams generation from source code using Model-Driven Architecture and Machine Learning to achieve Energy Efficiency

The Reverse Engineering of a Web Application Struts Based in the ADM Approach

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

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