Clustering variation points in MATLAB/Simulink models using reverse signal propagation analysis

A. Schlie, D. Wille, L. Cleophas, I. Schaefer

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

    2 Citations (Scopus)
    1 Downloads (Pure)

    Abstract

    Model-based languages such as MATLAB/Simulink play an essential role in the model-driven development of software systems. During their development, these systems can be subject to modification numerous times. For large-scale systems, to manually identify performed modifications is infeasible. However, their precise identification and subsequent validation is essential for the evolution of model-based systems. If not fully identified, modifications may cause unaccountable behavior as the system evolves and their redress can significantly delay the entire development process. In this paper, we propose a fully automated technique called Reverse Signal Propagation Analysis, which identifies and clusters variations within evolving MATLAB/Simulink models. With each cluster representing a clearly delimitable variation point between models, we allow model engineers not only to specifically focus on single variations, but by using their domain knowledge, to also relate and verify them. By identifying variation points, we assist model engineers in validating the respective parts and reduce the risk of improper system behavior as the system evolves. To assess the applicability of our technique, we present a feasibility study with real-world models from the automotive domain and show our technique to be very fast and highly precise.

    Original languageEnglish
    Title of host publicationMastering Scale and Complexity in Software Reuse - 16th International Conference on Software Reuse, ICSR 2017, Proceedings
    EditorsG. Botterweck, C. Werner
    PublisherSpringer
    Pages77-94
    Number of pages18
    ISBN (Print)9783319568553
    DOIs
    Publication statusPublished - 2017
    Event16th International Conference on Software Reuse, (ICSR2017), 29-31 May 2017, Salvador, Brazil - Salvador, Brazil
    Duration: 29 May 201731 May 2017
    http://icsr2017.ufba.br/

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume10221 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference16th International Conference on Software Reuse, (ICSR2017), 29-31 May 2017, Salvador, Brazil
    Abbreviated titleICSR2017
    CountryBrazil
    CitySalvador
    Period29/05/1731/05/17
    Internet address

    Keywords

    • Clustering
    • MATLAB/Simulink
    • Variation point

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