Software process analysis methodology-a methodology based on lessons learned in embracing legacy software

Leemans, Maikel, van der Aalst, Wil M.P., van den Brand, Mark G.J., Schiffelers, Ramon R.H. & Lensink, Leonard (2018). Software process analysis methodology-a methodology based on lessons learned in embracing legacy software. Proceedings – 2018 IEEE International Conference on Software Maintenance and Evolution, ICSME 2018 (pp. 665-674). Piscataway: Institute of Electrical and Electronics Engineers (IEEE). Read More …

Recursion aware modeling and discovery for hierarchical software event log analysis

Leemans, Maikel, van der Aalst, Wil M.P. & van den Brand, Mark G.J. (2018). Recursion aware modeling and discovery for hierarchical software event log analysis. 25th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2018 – Proceedings (pp. 185-196). Piscataway: Institute of Electrical and Electronics Engineers (IEEE). Abstract This paper presents 1) a Read More …

The Statechart Workbench : Enabling scalable software event log analysis using process mining

Leemans, Maikel, van der Aalst, Wil M.P. & van den Brand, Mark G.J. (2018). The Statechart Workbench : Enabling scalable software event log analysis using process mining. 25th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2018 – Proceedings (pp. 502-506). Institute of Electrical and Electronics Engineers (IEEE). Abstract To understand and maintain Read More …

Hierarchical performance analysis for process mining

Leemans, Maikel, Van Der Aalst, Wil M.P. & Van Den Brand, Mark G.J. (2018). Hierarchical performance analysis for process mining. Proceedings of the 2018 International Conference on Software and System Process, ICSSP 2018 (pp. 96-105). Association for Computing Machinery, Inc. Abstract Process mining techniques use event data from operational and software processes to discover process Read More …

DSC/e & NWO Graduate Program

Data Science Center Eindhoven Description Recent technological and societal changes led to an explosion of digitally available data. Exploiting the available data to its fullest extent, in order to improve decision making, increase productivity, and deepen our understanding of scientific questions, is one of today‚Äôs key challenges. Data science is an emerging area that aims Read More …

Maikel Leemans

Maikel is a PhD student within the PA group where his main research is in the area of process mining. More concretely, his research interests focus on the analysis of software, where he looks at finding common usage patterns, possible deviations and options how to improve the usage process by changing the software. Position: PhD Read More …

Wil van der Aalst

Prof.dr.ir. Wil van der Aalst is a full professor of the Process and Data Science (PADS) group at the RWTH in Aachen (Germany) and a part-time professor in the PA group. His personal research interests include process mining, business process management, workflow management, Petri nets, process modeling, and process analysis. Position: HGL Room: MF 7.064 Read More …