An event-based empirical process analysis framework

  • Authors:
  • Wikan Danar Sunindyo;Stefan Biffl;Richard Mordinyi;Thomas Moser;Alexander Schatten;Mohammed Tabatabai;Dindin Wahyudin;Edgar Weippl;Dietmar Winkler

  • Affiliations:
  • Vienna University of Technology, Vienna, Austria;Vienna University of Technology, Vienna, Austria;Vienna University of Technology, Vienna, Austria;Vienna University of Technology, Vienna, Austria;Vienna University of Technology, Vienna, Austria;Vienna University of Technology, Vienna, Austria;Vienna University of Technology, Vienna, Austria;Vienna University of Technology, Vienna, Austria;Vienna University of Technology, Vienna, Austria

  • Venue:
  • Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
  • Year:
  • 2010

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Abstract

The engineering of complex software-intensive systems, like industrial production plants, requires software engineering to coordinate and interact with other engineering disciplines. Project and quality managers need empirical study results to improve system quality, e.g., from process analysis of engineering process event sequences. In this paper, we propose a framework adapted from business process analysis to empirically analyzing engineering process event information. Initial results support the suitability of the approach for (software+) engineering environments.