Tailoring Complexity Metrics for Simulink Models

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

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu


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.

AlkuperäiskieliEi tiedossa
OtsikkoProccedings of the 10th European Conference on Software Architecture Workshops
ToimittajatR Bahsoon, R Weinreich
ISBN (painettu)978-1-4503-4781-5
DOI - pysyväislinkit
TilaJulkaistu - 2016
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaEuropean Conference on Software Architecture Workshops (ECSAW) - 10th European Conference on Software Architecture Workshops ECSAW '16
Kesto: 28 marrask. 20162 jouluk. 2016


KonferenssiEuropean Conference on Software Architecture Workshops (ECSAW)