Collaborative Model-Driven Software Engineering: A Systematic Update
Paper i proceeding, 2021

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.

systematic update

Model-driven engineering

systematic mapping study

collaborative modeling

Författare

Istvan David

Université de Montréal

Kousar Aslam

Vrije Universiteit Amsterdam

Sogol Faridmoayer

Université de Montréal

Ivano Malavolta

Vrije Universiteit Amsterdam

Eugene Syriani

Université de Montréal

Patricia Lago

Cyber Physical Systems

Vrije Universiteit Amsterdam

Proceedings - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS 2021

273-284
9781665434959 (ISBN)

24th ACM/IEEE International Conference on Model-Driven Engineering Languages and Systems, MODELS 2021
Virtual, Online, Japan,

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Programvaruteknik

DOI

10.1109/MODELS50736.2021.00035

Mer information

Senast uppdaterat

2022-02-24