Analyzing impact of experience curve on ROI in the software product line adoption process

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dc.citation.epage148en_US
dc.citation.spage136en_US
dc.citation.volumeNumber59en_US
dc.contributor.authorTüzün, E.en_US
dc.contributor.authorTekinerdogan, B.en_US
dc.date.accessioned2016-02-08T10:17:55Z
dc.date.available2016-02-08T10:17:55Z
dc.date.issued2015en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractContext Experience curve is a well-known concept in management and education science, which explains the phenomenon of increased worker efficiency with repetitive production of a good or service. Objective We aim to analyze the impact of the experience curve effect on the Return on Investment (ROI) in the software product line engineering (SPLE) process. Method We first present the results of a systematic literature review (SLR) to explicitly depict the studies that have considered the impact of experience curve effect on software development in general. Subsequently, based on the results of the SLR, the experience curve effect models in the literature, and the SPLE cost models, we define an approach for extending the cost models with the experience curve effect. Finally, we discuss the application of the refined cost models in a real industrial context. Results The SLR resulted in 15 primary studies which confirm the impact of experience curve effect on software development in general but the experience curve effect in the adoption of SPLE got less attention. The analytical discussion of the cost models and the application of the refined SPLE cost models in the industrial context showed a clear impact of the experience curve effect on the time-to-market, cost of development and ROI in the SPLE adoption process. Conclusions The proposed analysis with the newly defined cost models for SPLE adoption provides a more precise analysis tool for the management, and as such helps to support a better decision making.en_US
dc.identifier.doi10.1016/j.infsof.2014.09.008en_US
dc.identifier.issn0950-5849
dc.identifier.urihttp://hdl.handle.net/11693/23703
dc.language.isoEnglishen_US
dc.publisherElsevier BVen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.infsof.2014.09.008en_US
dc.source.titleInformation and Software Technologyen_US
dc.subjectCost modelsen_US
dc.subjectExperience curveen_US
dc.subjectLearning curveen_US
dc.subjectProductivityen_US
dc.subjectSoftware product line engineeringen_US
dc.subjectSoftware reuseen_US
dc.subjectComputer softwareen_US
dc.subjectComputer software reusabilityen_US
dc.subjectCost benefit analysisen_US
dc.subjectCost engineeringen_US
dc.subjectCostsen_US
dc.subjectCurve fittingen_US
dc.subjectDecision makingen_US
dc.subjectHuman resource managementen_US
dc.subjectProductivityen_US
dc.subjectCost modelsen_US
dc.subjectExperience curvesen_US
dc.subjectIndustrial contexten_US
dc.subjectLearning curvesen_US
dc.subjectSystematic literature review (SLR)en_US
dc.subjectSoftware designen_US
dc.titleAnalyzing impact of experience curve on ROI in the software product line adoption processen_US
dc.typeArticleen_US
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