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2018 IEEE International Conference on Software Maintenance and Evolution (ICSME) (2018)
Madrid, Spain
Sep 23, 2018 to Sep 29, 2018
ISSN: 2576-3148
ISBN: 978-1-5386-7870-1
pp: 665-674
ABSTRACT
Over the last decades, the complexity of high-tech systems, and the software systems controlling them, has increased considerably. In practice, it is hard to keep knowledge and documentation of these ever-evolving software systems up-to-date with their actual realization; we are dealing with legacy software. Clearly, this lack of knowledge, insight, and understanding is more and more becoming a critical issue. Process mining provides an interesting opportunity to improve understanding and analyze software behavior based on observations from the system on the run. However, a concrete software process analysis methodology was lacking. This paper 1) discusses a software process analysis case study at ASML, a large high-tech company, and, based on the lessons learned, 2) presents a concrete methodology for analyzing software processes. The presented methodology actively includes the system under analysis and is based on practical experiences in applying process mining on industrial-scale legacy software.
INDEX TERMS
software maintenance,
CITATION

M. Leemans, W. M. van der Aalst, M. G. van den Brand, R. R. Schiffelers and L. Lensink, "Software Process Analysis Methodology – A Methodology Based on Lessons Learned in Embracing Legacy Software," 2018 IEEE International Conference on Software Maintenance and Evolution (ICSME), Madrid, Spain, 2018, pp. 665-674.
doi:10.1109/ICSME.2018.00076
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