Collaborative Model-Driven Software Engineering: A Systematic Update

被引：26
作者：
David, Istvan [1 ]
Aslam, Kousar [2 ]
Faridmoayer, Sogol [1 ]
Malavolta, Ivano [2 ]
Syriani, Eugene [1 ]
Lago, Patricia [2 ,3 ]
机构：
[1] Univ Montreal, DIRO, Montreal, PQ, Canada
[2] Vrije Univ Amsterdam, Amsterdam, Netherlands
[3] Chalmers Univ Technol, Gothenburg, Sweden
来源：
24TH INTERNATIONAL CONFERENCE ON MODEL-DRIVEN ENGINEERING LANGUAGES AND SYSTEMS (MODELS 2021) | 2021年
关键词：
Model-driven engineering; collaborative modeling; systematic mapping study; systematic update;
D O I：
10.1109/MODELS50736.2021.00035
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：273 / 284
页数：12
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