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A systematic literature review on the industrial use of software process simulation
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0001-7266-5632
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0002-1532-8223
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0003-0460-5253
2014 (English)In: Journal of Systems and Software, ISSN 0164-1212, Vol. 97Article in journal (Refereed) Published
Abstract [en]

Context Software process simulation modelling (SPSM) captures the dynamic behaviour and uncertainty in the software process. Existing literature has conflicting claims about its practical usefulness: SPSM is useful and has an industrial impact; SPSM is useful and has no industrial impact yet; SPSM is not useful and has little potential for industry. Objective To assess the conflicting standpoints on the usefulness of SPSM. Method A systematic literature review was performed to identify, assess and aggregate empirical evidence on the usefulness of SPSM. Results In the primary studies, to date, the persistent trend is that of proof-of-concept applications of software process simulation for various purposes (e.g. estimation, training, process improvement, etc.). They score poorly on the stated quality criteria. Also only a few studies report some initial evaluation of the simulation models for the intended purposes. Conclusion There is a lack of conclusive evidence to substantiate the claimed usefulness of SPSM for any of the intended purposes. A few studies that report the cost of applying simulation do not support the claim that it is an inexpensive method. Furthermore, there is a paramount need for improvement in conducting and reporting simulation studies with an emphasis on evaluation against the intended purpose.

Place, publisher, year, edition, pages
Elsevier , 2014. Vol. 97
Keywords [en]
software process simulation, systematic literature review
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-6459DOI: 10.1016/j.jss.2014.06.059ISI: 000343352500004Local ID: oai:bth.se:forskinfo918BA1E6885171A3C1257D9D00544072OAI: oai:DiVA.org:bth-6459DiVA, id: diva2:833967
Available from: 2015-01-02 Created: 2014-11-27 Last updated: 2021-06-11Bibliographically approved

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bin Ali, NaumanPetersen, KaiWohlin, Claes

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