You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Multi-view approaches for software and system modelling: a systematic literature review

Authors:

Antonio Cicchetti, Federico Ciccozzi, Alfonso Pierantonio

Research groups:

Industrial Software Engineering
Model-Based Engineering of Embedded Systems

Publication Type:

Journal article

Venue:

Springer Journal on Software and Systems Modeling

Abstract

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 8,600 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, (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.

Bibtex

@article{Cicchetti5387,
author = {Antonio Cicchetti and Federico Ciccozzi and Alfonso Pierantonio},
title = {Multi-view approaches for software and system modelling: a systematic literature review},
volume = {-},
number = {-},
month = {December},
year = {2018},
journal = {Springer Journal on Software and Systems Modeling},
url = {http://www.es.mdu.se/publications/5387-}
}