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Software Process Analysis Methodology. A Methodology based on Lessons Learned in Embracing Legacy Software

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Author: Leemans, M. · Aalst W.M.P. van der · Brand, M.G.J van den · Schiffelers, R.R.H. · Lensink, L.
Type:article
Date:2018
Place: Eindhoven
Identifier: 843181
Keywords: Informatics · Reverse Engineering · Process Mining · Methodology · Case Study · Passive Learning · Performance Analysis · Program Analysis · Model-Driven Analysis · Industrial Innovation

Abstract

Over the last decades, the complexity of high-tech systems, and the softwaresystems 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. Processmining 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. Keywords-Reverse Engineering; Process Mining; Methodology; Case Study; Passive Learning; Performance Analysis; Program Analysis; Model-Driven Analysis.