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dc.contributor.authorNoppen, J.en_US
dc.contributor.authorAksit, M.en_US
dc.contributor.authorNicola, V.en_US
dc.contributor.authorTekinerdogan, B.en_US
dc.date.accessioned2016-02-08T10:27:17Z
dc.date.available2016-02-08T10:27:17Z
dc.date.issued2004en_US
dc.identifier.issn1462-5970
dc.identifier.urihttp://hdl.handle.net/11693/24301
dc.description.abstractChanges in requirements may have a severe impact on development processes. For example, if requirements change during the course of a software development activity, it may be necessary to reschedule development activities so that the new requirements can be addressed in a timely manner. Unfortunately, current software development methods do not provide explicit means to adapt development processes with respect to changes in requirements. The paper proposes a method based on Markov decision theory, which determines the estimated optimal development schedule with respect to probabilistic product demands and resource constraints. This method is supported by a tool and applied to an industrial case.en_US
dc.language.isoEnglishen_US
dc.source.titleIEE Proceedings: Softwareen_US
dc.relation.isversionofhttps://doi.org/10.1049/ip-sen:20040079en_US
dc.subjectComputer applicationsen_US
dc.subjectComputer software maintenanceen_US
dc.subjectDecision theoryen_US
dc.subjectInterfaces (computer)en_US
dc.subjectMarkov processesen_US
dc.subjectProbabilityen_US
dc.subjectSystems analysisen_US
dc.subjectMarkov decision theoryen_US
dc.subjectMeta programming languagesen_US
dc.subjectResource constraintsen_US
dc.subjectSoftware systemsen_US
dc.subjectSoftware engineeringen_US
dc.titleMarket-driven approach based on Markov decision theory for optimal use of resources in software developmenten_US
dc.typeArticleen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.citation.spage85en_US
dc.citation.epage94en_US
dc.citation.volumeNumber151en_US
dc.citation.issueNumber2en_US
dc.identifier.doi10.1049/ip-sen:20040079en_US
dc.publisherInstitution of Engineering and Technologyen_US


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