Tailoring complexity metrics for simulink models

M. Olszewska, Y. Dajsuren, H. Altinger, A. Serebrenik, M. Walden, M.G.J. van den Brand

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
76 Downloads (Pure)

Abstract

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 languageEnglish
Title of host publication10th European Conference on Software Architecture. Companion Volume: Women in Software Architecture
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
Pages1-7
Number of pages7
ISBN (Print)978-1-4503-4781-5
DOIs
Publication statusPublished - 2016
Event10th European Conference on Software Architecture Workshops (IECSAW '16), November 28 - December 2, 2016, Copenhagen, Denmark - Copenhagen, Denmark
Duration: 28 Nov 20162 Dec 2016

Conference

Conference10th European Conference on Software Architecture Workshops (IECSAW '16), November 28 - December 2, 2016, Copenhagen, Denmark
Abbreviated titleECSAW '16
CountryDenmark
CityCopenhagen
Period28/11/162/12/16

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