Hierarchical performance analysis for process mining

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    8 Citations (Scopus)
    2 Downloads (Pure)

    Abstract

    Process mining techniques use event data from operational and software processes to discover process models, to check the conformance of predefined process models, and to extend such models with information about bottlenecks, decisions, and resource usage. In recent years, the process mining field made huge advances in terms of scalability. In addition, recent work in process discovery supports advanced process model constructs such as subprocesses, recursive structures, cancellation, and various notions of concurrency. Hence, one has to realize that a simple, small, and flat model will not suffice anymore, especially when applied to analyzing software system processes. However, state of the art performance analysis is still typically performed either over the whole process model or at the level of individual activities. There is a lack of formal support for performance analysis on various submodel abstractions while taking into account the execution semantics. This paper presents 1) a framework for establishing precise relationships between events and submodels, taking into account execution semantics; and 2) a novel formalization of existing and novel performance metrics. Our approach enables advanced performance analysis at various submodel abstractions. An implementation is made available, and we demonstrate the advantages of our approach to various software system processes, showing the applicability and advantage with respect to existing techniques.

    Original languageEnglish
    Title of host publicationProceedings of the 2018 International Conference on Software and System Process, ICSSP 2018
    PublisherAssociation for Computing Machinery, Inc
    Pages96-105
    Number of pages10
    ISBN (Electronic)9781450364591
    DOIs
    Publication statusPublished - 26 May 2018
    Event2018 International Conference on Software and System Processes (ICSSP 2018) - Gothenburg, Sweden
    Duration: 26 May 201827 May 2018

    Conference

    Conference2018 International Conference on Software and System Processes (ICSSP 2018)
    Abbreviated titleICSSP 2018
    CountrySweden
    CityGothenburg
    Period26/05/1827/05/18

    Keywords

    • Execution Semantics Performance Metrics
    • Hierarchical Performance Analysis
    • Performance Analysis
    • Petri nets
    • Process Mining

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