Application to the Applied Sciences Domain of the Model-Driven Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (10 February 2022) | Viewed by 601
Special Issue Editor
Interests: software engineering; model-driven engineering; automatic code generation; quality metrics; metadata repository; reuse of UML artifacts; Internet of Things; Artificial Intelligence of Things
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
All applied sciences make use of complex software systems. The design and development of those systems is an equally complex challenge. The object-oriented (O-O) paradigm is largely adopted to face this difficult task. The Unified Modeling Language (UML) is the de facto standard for implementing the O-O paradigm. UML describes notations for a number of different models that may be produced during analysis and design.
Model-driven engineering (MDE) is strongly recommended by scholars as the approach to be adopted in the development of complex O-O applications. Unfortunately, many scholars have reported that the adoption of MDE in the industry is still marginal.
This Special Issue calls for case studies about actual implementations of complex O-O software in any domain of applied sciences, achieved by applying MDE. We particularly welcome contributions focusing on the assessment of the quality of the developed models. Monitoring the quality of models is a precondition to produce quality O-O software. Anticipating the evaluation phase at the modeling stage reduces the cost of the whole validation process. This is true in general and in MDE as well, where the models are to be validated before being transformed, preventing the spread of defects introduced into the design. The empirical data underlying the evaluation phase are of primary relevance to the Special Issue.
Prof. Dr. Paolino Di Felice
Guest Editor
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Keywords
- software engineering
- UML
- MDE
- metrics for UML models
- software tools
- case studies
- empirical data
- measurements
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