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Multi-view approaches for software and system modelling: a systematic literature review
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-0416-1787
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Malardalen Univ, Sch Innovat Design & Engn IDT, Vasteras, Sweden..ORCID iD: 0000-0002-0401-1036
Univ Aquila, DISIM, Laquila, Italy..
2019 (English)In: Software and Systems Modeling, ISSN 1619-1366, E-ISSN 1619-1374, Vol. 18, no 6, p. 3207-3233Article, review/survey (Refereed) Published
Abstract [en]

Over the years, a number of approaches have been proposed on the description of systems and software in terms of multiple views represented by models. This modelling branch, so-called multi-view software and system modelling, praises a differentiated and complex scientific body of knowledge. With this study, we aimed at identifying, classifying, and evaluating existing solutions for multi-view modelling of software and systems. To this end, we conducted a systematic literature review of the existing state of the art related to the topic. More specifically, we selected and analysed 40 research studies among over 8600 entries. We defined a taxonomy for characterising solutions for multi-view modelling and applied it to the selected studies. Lastly, we analysed and discussed the data extracted from the studies. From the analysed data, we made several observations, among which: (i) there is no uniformity nor agreement in the terminology when it comes to multi-view artefact types, (ii) multi-view approaches have not been evaluated in industrial settings and (iii) there is a lack of support for semantic consistency management and the community does not appear to consider this as a priority. The study results provide an exhaustive overview of the state of the art for multi-view software and systems modelling useful for both researchers and practitioners.

Place, publisher, year, edition, pages
2019. Vol. 18, no 6, p. 3207-3233
Keywords [en]
Model-driven engineering, Multi-view modelling, Viewpoints, Views, Consistency
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-45372DOI: 10.1007/s10270-018-00713-wISI: 000485320600003Scopus ID: 2-s2.0-85061733132OAI: oai:DiVA.org:mdh-45372DiVA, id: diva2:1357335
Available from: 2019-10-03 Created: 2019-10-03 Last updated: 2019-10-11Bibliographically approved

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Cicchetti, AntonioCiccozzi, Federico

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