INFER: Interactive Timing Profiles based on Bayesian Networks

Michael Zolda

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Abstract

    We propose an approach for timing analysis of software-based embedded computer systems that builds on the established probabilistic framework of Bayesian networks. We envision an approach where we take (1) an abstract description of the control flow within a piece of software, and (2) a set of run-time traces, which are combined into a Bayesian network that can be seen as an interactive timing profile. The obtained profile can be used by the embedded systems engineer not only to obtain a probabilistic estimate of the WCET, but also to run interactive timing simulations, or to automatically identify software configurations that are likely to evoke noteworthy timing behavior, like, e.g., high variances of execution times, and which are therefore candidates for further inspection.
    Original languageEnglish
    Title of host publicationProc. 8th International Workshop on Worst-Case Execution Time Analysis
    DOIs
    Publication statusPublished - 2008
    Event8th Int Workshop on Worst-Case Execution Time Analysis - Prague, Czech Republic
    Duration: 1 Jul 2008 → …

    Conference

    Conference8th Int Workshop on Worst-Case Execution Time Analysis
    Country/TerritoryCzech Republic
    CityPrague
    Period1/07/08 → …

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