Tailoring Complexity Metrics for Simulink Models

A4 Conference proceedings

Internal Authors/Editors

Publication Details

List of Authors: Marta Olszewska, Yanja Dajsuren, Harald Altinger, Alexander Serebrenik, Marina Waldén, Mark G. J. van den Brand
Editors: Bahsoon R, Weinreich R
Publisher: ACM New York
Place: Copenhagen
Publication year: 2016
Publisher: ACM
Book title: Proccedings of the 10th European Conference on Software Architecture Workshops
Start page: 1
End page: 7
ISBN: 978-1-4503-4781-5


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.

Last updated on 2020-12-07 at 06:21