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Collaborative Model-Driven Software Engineering: A Systematic Update

István Dávid, Kousar Aslam, Sogol Faridmoayer, Ivano Malavolta, Eugene Syriani, Patricia Lago

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Abstract

Current software engineering practices rely on highly heterogeneous and distributed teams working in a collaborative setting. Between 2013–2020, the publication output in the field of collaborative Model-Driven Software Engineering (MDSE) has significantly increased. However, the only systematic mapping study available is limited to studies published until 2015. In this paper, we provide an update on that study for the complementing 2016–2020 period, and report the latest results, challenges, and trends. Our analysis led to selecting 29 clusters of 54 new peer-reviewed publications on collaborative MDSE. Based on the novel developments in the field, we have extended and improved the original classification framework, making it applicable to recent and future research contributions on collaborative MDSE. The insights in this paper relate to the changing trends in the field and present new relevant information.

Topics & Concepts

Computer scienceField (mathematics)Systematic reviewCollaborative engineeringCollaborative modelData scienceCollaborative softwareSoftware engineeringSoftwareEngineeringWorld Wide WebWork in processOperations managementPhilosophyPure mathematicsMEDLINEMathematicsLinguisticsLawPolitical scienceProgramming languageModel-Driven Software Engineering TechniquesSoftware Engineering Techniques and PracticesAdvanced Software Engineering Methodologies