GUI structure and behavior from Java source code analysis

Gotti, Zineb; Mbarki, Samir

doi:10.1109/cist.2016.7805051

Cited by 4 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Subsequently, model transformation is applied to generate HTML code. In another study [14], a reverse engineering approach is introduced regarding model representation using interaction flow modelling language for the legacy system artefacts of desktop applications i.e. Student Management Systems.…”

Section: B Literature Reviewmentioning

confidence: 99%

“…It is a platform independent modelling language thus deployed at the Platform Independent Model (PIM) level in order to express interaction design decisions independently of the implementation platform. It permits to capture the user interaction, content of the front-end user interfaces and model the control behavior of subject system's user interfaces [13], [14].…”

mentioning

confidence: 99%

See 1 more Smart Citation

A Novel Framework to Automatically Generate IFML Models From Plain Text Requirements

et al. 2019

View full text Add to dashboard Cite

User Interfaces (UI's) are highly important in this era of web and mobile applications. Therefore, an efficient and accurate development of UI's is desirable in early Software Development Life Cycle (SDLC) phases. To achieve this, Object Management Group (OMG) introduced Interaction Flow Modeling Language (IFML) standard in 2013. IFML provides the modeling of manifold UI's for different applications like mobile, web and desktop. Although IFML is based on Model Driven Engineering (MDE) principle, the development of user interface models from initial requirements is still complex and time consuming task. Particularly, it requires domain expertise to understand several IFML concepts like domain model, view container etc. for the proper modeling of user interfaces. Consequently, there is a strong need of an approach to automate the development of IFML models from initial plain text requirements. This article presents a novel framework to automatically generate IFML models from textual requirements by utilizing the features of Natural Language Processing (NLP). Particularly, a set of NLP rules are developed to extract important IFML elements like View Components, Events etc. from textual requirements. Furthermore, a comprehensive algorithm is developed for the systematic execution of NLP rules in order to generate both IFML Domain and Core models. As a part of research, a sophisticated T ext to IFML (T2IF) tool is developed. The feasibility of proposed framework is demonstrated through movie manager and online bookstore case studies. The evaluation results prove that the proposed framework is capable of generating IFML models from textual requirements with high accuracy.

show abstract

Section: B Literature Reviewmentioning

confidence: 99%

mentioning

confidence: 99%

A Novel Framework to Automatically Generate IFML Models From Plain Text Requirements

et al. 2019

View full text Add to dashboard Cite

show abstract

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

Siala,

Lano,

Alfraihi

2024

IEEE Access

View full text Add to dashboard Cite

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.

show abstract