System runs analysis with process mining
S. A. Shershakova, V. A. Rubinb
a National Research University Higher School of Economics,
20 Myasnitskaya str., Moscow, 101000, Russia
b IT Consulting, 60599, Frankfurt am Main, Germany
Information systems (IS) produce numerous traces and logs at runtime. In the context of SOA-based (service-oriented architecture) IS, these logs contain details about sequences of process and service calls. Modern application monitoring and error tracking tools provide only rather straightforward log search and filtering functionality. However, “clever” analysis of the logs is highly useful, since it can provide valuable insights into the system architecture, interaction of business domains and services. Here we took runs event logs (trace data) of a big booking system and discovered architectural guidelines violations and common anti-patterns. We applied mature process mining techniques for discovery and analysis of these logs. The aims of process mining are to discover, analyze, and improve processes on the basis of IS behavior recorded as event logs. In several specific examples, we show successful applications of process mining to system runtime analysis and motivate further research in this area.
The article is published in the authors' wording.
process mining, software process, software runtime analysis.
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S. A. Shershakov, V. A. Rubin, “System runs analysis with process mining”, Model. Anal. Inform. Sist., 22:6 (2015), 818–833
Citation in format AMSBIB
\by S.~A.~Shershakov, V.~A.~Rubin
\paper System runs analysis with process mining
\jour Model. Anal. Inform. Sist.
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