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.
| Original language | English |
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| Title of host publication | 2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS) |
| Subtitle of host publication | Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 273-284 |
| Number of pages | 12 |
| ISBN (Electronic) | 9781665434959 |
| DOIs | |
| Publication status | Published - 13 Nov 2021 |
| Event | 24th ACM/IEEE International Conference on Model-Driven Engineering Languages and Systems, MODELS 2021 - Virtual, Online, Japan Duration: 10 Oct 2021 → 15 Oct 2021 |
Conference
| Conference | 24th ACM/IEEE International Conference on Model-Driven Engineering Languages and Systems, MODELS 2021 |
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| Country/Territory | Japan |
| City | Virtual, Online |
| Period | 10/10/21 → 15/10/21 |