Tailoring Complexity Metrics for Simulink Models

Marta Olszewska, Yanja Dajsuren, Harald Altinger, Alexander Serebrenik, Marina Walden, Mark G. J. van den Brand

Research output: Chapter in Book/Conference proceedingConference contributionScientificpeer-review


The size and complexity of Simulink models is constantly increasing, just as the systems which they represent. Therefore, it is beneficial to control them already at the design phase. In this paper we establish a set of complexity metrics for Simulink models to capture diverse aspects of complexity by proposing new and redefining existing metrics. To evaluate the applicability of our metrics, we compare them with the closed-source metric proposed by Mathworks. Moreover, through a case study from the automotive domain, we relate such metrics to quality attributes as determined by domain experts, and correlate them to known faults. Preliminary assessment suggests that complexity is closely related to analysability, understandability, and testability.

Original languageUndefined/Unknown
Title of host publicationProccedings of the 10th European Conference on Software Architecture Workshops
EditorsR Bahsoon, R Weinreich
ISBN (Print)978-1-4503-4781-5
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication
EventEuropean Conference on Software Architecture Workshops (ECSAW) - 10th European Conference on Software Architecture Workshops ECSAW '16
Duration: 28 Nov 20162 Dec 2016


ConferenceEuropean Conference on Software Architecture Workshops (ECSAW)

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