LOGDIG Log File Analyzer for Mining Expected Behavior from Log Files

    Tutkimustuotos: Conference contributionScientificvertaisarvioitu

    1 Sitaatiot (Scopus)

    Abstrakti

    Log files are often the only way to identify and locate errors in a deployed
    system. This paper presents a new log file analyzing framework,
    LOGDIG, for checking expected system behavior from log files. LOGDIG is a
    generic framework, but it is motivated by logs that include temporal data
    (timestamps) and system-specific data (e.g. spatial data with coordinates of
    moving objects), which are present e.g. in Real Time Passenger Information
    Systems (RTPIS). The behavior mining in LOGDIG is state-machine-based,
    where a search algorithm in states tries to find desired events (by certain accuracy) from log files. That is different from related work, in which transitions are directly connected to lines of log files. LOGDIG reads any log files and uses
    metadata to interpret input data. The output is static behavioral knowledge and
    human friendly composite log for reporting results in legacy tools. Field data
    from a commercial RTPIS called ELMI is used as a proof-of-concept case
    study. LOGDIG can also be configured to analyze other systems log files by its
    flexible metadata formats and a new behavior mining language.
    AlkuperäiskieliEnglanti
    OtsikkoProceedings of the 14th Symposium on Programming Languages and Software Tools
    ToimittajatJyrki Nummenmaa, Outi Sievi-Korte, Erkki Mäkinen
    Sivut266-280
    Sivumäärä15
    TilaJulkaistu - 10 lokakuuta 2015
    OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
    TapahtumaSYMPOSIUM ON PROGRAMMING LANGUAGES AND SOFTWARE TOOLS -
    Kesto: 1 tammikuuta 1900 → …

    Julkaisusarja

    NimiCEUR Workshop Proceedings
    Vuosikerta1525
    ISSN (elektroninen)1613-0073

    Conference

    ConferenceSYMPOSIUM ON PROGRAMMING LANGUAGES AND SOFTWARE TOOLS
    Ajanjakso1/01/00 → …

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