Konferenzbeitrag
Comparing Multiple MATLAB/Simulink Models Using Static Connectivity Matrix Analysis
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Text/Conference Paper
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Datum
2020
Autor:innen
Zeitschriftentitel
ISSN der Zeitschrift
Bandtitel
Quelle
Software Engineering 2020
Wartung und Evolution 2
Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
Model-based languages such as MATLAB/Simulink are crucial for the development of embedded
software systems. To adapt to changing requirements, engineers commonly copy and modify
existing systems to create new variants. Denoted clone-and-own, this straightforward reuse strategy
entails severe maintenance and consistency issues as redundant and similar assets proliferate.
Software product lines can be a remedy but require all existing variants to be compared prior to
their actual migration. However, current work mostly revolves around comparing only two systems
and those approaches coping with more are not applicable to embedded software systems such as
MATLAB/Simulink. We bridge this gap and propose Static Connectivity Matrix Analysis (SCMA), a
novel comparison procedure that evaluates multiple MATLAB/Simulink model variants at once. We
transfer models into matrix form and identify all similar structures between them, even with parts
being completely relocated during clone-and-own. Moreover, we allow engineers to tailor results and
to focus on any arbitrary variant subset, enabling individual reasoning prior to migration. We provide
a feasibility study from the automotive domain, showing our matrix representation to be suitable and
SCMA to be fast and precise.