Hierarchical process mining for scalable software analysis

M. Leemans

    Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)

    817 Downloads (Pure)

    Abstract

    Analyzing Software Based on Real Execution Data
    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    • Mathematics and Computer Science
    Supervisors/Advisors
    • van der Aalst, Wil M.P., Promotor
    • van den Brand, Mark G.J., Promotor
    Award date6 Dec 2018
    Place of PublicationEindhoven
    Publisher
    Print ISBNs978-90-386-4618-3
    Publication statusPublished - 6 Dec 2018

    Bibliographical note

    Proefschrift

    Keywords

    • Process Mining
    • Reverse Engineering
    • Process Discovery
    • Performance Analysis
    • Software Analysis
    • Event Logs
    • Hierarchical Modeling
    • Hierarchical Discovery
    • Hierarchical Performance Analysis
    • Hierarchical Event Logs
    • Cancelation Modeling
    • Cancelation Discovery
    • Software Process Analysis Methodology
    • Statechart Workbench
    • Software Analysis Workbench

    Promotion : time and place

    • 11:00h, Auditorium, Senaatszaal

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