Hierarchical process mining for scalable software analysis

M. Leemans

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

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Abstract

Analyzing Software Based on Real Execution Data
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Department of 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

Cite this

Leemans, M. (2018). Hierarchical process mining for scalable software analysis. Technische Universiteit Eindhoven.