Since most complex software systems are intrinsically multi-paradigm, their engineering is a challenging issue. Multi-paradigm modeling (MPM) aims at facing the challenge by providing concepts and tools promoting the integration of models, abstractions, technologies, and methods originating from diverse computational paradigms. In this chapter, the authors survey the main MPM approaches in the literature, evaluate their strengths and weaknesses, and compare them according to three main criteria—namely, (1) the software development process, (2) the adoption of meta-model techniques, (3) the availability of adequate supporting tools. Furthermore, the authors explore the adoption of other promising approaches for the engineering of multi-paradigm systems, such as multi-agent systems (MAS) and systems of systems (SoS), and discuss the role of situational process engineering (SPE) in the composition of multi-paradigm software processes.

MDE & MDA in a Multi-Paradigm Modeling Perspective

Ambra Molesini;Enrico Denti;Andrea Omicini
2021

Abstract

Since most complex software systems are intrinsically multi-paradigm, their engineering is a challenging issue. Multi-paradigm modeling (MPM) aims at facing the challenge by providing concepts and tools promoting the integration of models, abstractions, technologies, and methods originating from diverse computational paradigms. In this chapter, the authors survey the main MPM approaches in the literature, evaluate their strengths and weaknesses, and compare them according to three main criteria—namely, (1) the software development process, (2) the adoption of meta-model techniques, (3) the availability of adequate supporting tools. Furthermore, the authors explore the adoption of other promising approaches for the engineering of multi-paradigm systems, such as multi-agent systems (MAS) and systems of systems (SoS), and discuss the role of situational process engineering (SPE) in the composition of multi-paradigm software processes.
Advancements in Model-Driven Architecture in Software Engineering
64
87
Ambra Molesini, Enrico Denti, Andrea Omicini
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/769135
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