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

    4 Citations (Scopus)
    138 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
    Country/TerritoryDenmark
    CityCopenhagen
    Period28/11/162/12/16

    Cite this