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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

2 Citaten (Scopus)

Samenvatting

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.

Originele taal-2Engels
TitelProceedings - 2018 IEEE International Conference on Software Maintenance and Evolution, ICSME 2018
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's665-674
Aantal pagina's10
ISBN van elektronische versie978-1-5386-7870-1
ISBN van geprinte versie978-1-5386-7871-8
DOI's
StatusGepubliceerd - 9 nov 2018
Evenement34th IEEE nternational Conference on Software Maintenance and Evolution (ICSME 2018) - Madrid, Spanje
Duur: 23 sep 201829 sep 2018
Congresnummer: 34

Congres

Congres34th IEEE nternational Conference on Software Maintenance and Evolution (ICSME 2018)
Verkorte titelICSME
Land/RegioSpanje
StadMadrid
Periode23/09/1829/09/18

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