Enhancing business process event logs with software failure data

• Autorzy: Gruszczyński K.
• Języki publikacji: EN

Abstrakty

EN

Process mining techniques allow for the analysis of the real process flow. This flow might be disturbed for many reasons, including software failures. It is also possible for failure occurrence to be the consequence of the faulty process execution. A method for measuring the harmfulness of the software failure regarding business processes executed by the user would be a valuable asset for quality and reliability improvement. In this paper, we take the first step towards developing this method by providing a tool for enhancing XES event logs with failure data. We begin with an introduction to this topic and background analysis in the field of failure classification and process mining techniques supporting failure analysis. Then we present our method for merging operational and failure data. By carrying out a case study based on real data, we evaluate our tool and present the aim of our future work.

Słowa kluczowe

EN

business process modeling; exceptional process paths; software reliability; failure classification; process mining

• Wydawca: Polish Academy of Sciences, Branch in Lublin
• Czasopismo: ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
• Rocznik: 2019
• Tom: Vol. 8, No 1
• Strony: 27--32
• Opis fizyczny: Bibliogr. 21 poz., rys., tab.

Twórcy

autor

Gruszczyński K.

• Department of Information Systems, Poznań University of Economics and Business, al. Niepodległości 10, PL 61 875 Poznań, Poland

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).