Recursion aware modeling and discovery for hierarchical software event log analysis

Maikel Leemans, Wil M.P. van der Aalst, Mark G.J. van den Brand

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

32 Citaten (Scopus)

Samenvatting

This paper presents 1) a novel hierarchy and recursion extension to the process tree model; and 2) the first, recursion aware process model discovery technique that leverages hierarchical information in event logs, typically available for software systems. This technique allows us to analyze the operational processes of software systems under real-life conditions at multiple levels of granularity. The work can be positioned in-between reverse engineering and process mining. An implementation of the proposed approach is available as a ProM plugin. Experimental results based on real-life (software) event logs demonstrate the feasibility and usefulness of the approach and show the huge potential to speed up discovery by exploiting the available hierarchy.

Originele taal-2Engels
Titel25th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2018 - Proceedings
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's185-196
Aantal pagina's12
ISBN van elektronische versie978-1-5386-4969-5
DOI's
StatusGepubliceerd - 2 apr. 2018
Evenement25th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2018) - Campobasso, Italië
Duur: 20 mrt. 201823 mrt. 2018
Congresnummer: 25
http://saner.unimol.it/

Congres

Congres25th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2018)
Verkorte titelSANER 2018
Land/RegioItalië
StadCampobasso
Periode20/03/1823/03/18
Internet adres

Vingerafdruk

Duik in de onderzoeksthema's van 'Recursion aware modeling and discovery for hierarchical software event log analysis'. Samen vormen ze een unieke vingerafdruk.

Citeer dit