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dc.contributor.authorStamelos, Ioannis
dc.contributor.authorVlahavas, Ioannis
dc.contributor.authorRefanidis, Ioannis
dc.contributor.authorTsoukiàs, Alexis
HAL ID: 740501
ORCID: 0000-0001-5772-3988
dc.date.accessioned2009-12-10T11:37:58Z
dc.date.available2009-12-10T11:37:58Z
dc.date.issued2000
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/2659
dc.language.isoenen
dc.subjectAutomated software evaluationen
dc.subjectMultiple criteria decision aiden
dc.subjectIntelligent systemsen
dc.subject.ddc006.3en
dc.titleKnowledge Based Evaluation of Software Systems: a case studyen
dc.typeArticle accepté pour publication ou publié
dc.contributor.editoruniversityotherAristotle University of Thessaloniki, Thessaloniki;Grèce
dc.description.abstractenSolving software evaluation problems is a particularly difficult software engineering process and many contradictory criteria must be considered to reach a decision. Nowadays, the way that decision support techniques are applied suffers from a number of severe problems, such as naive interpretation of sophisticated methods and generation of counter-intuitive, and therefore most probably erroneous, results. In this paper we identify some common flaws in decision support for software evaluations. Subsequently, we discuss an integrated solution through which significant improvement may be achieved, based on the Multiple Criteria Decision Aid methodology and the exploitation of packaged software evaluation expertise in the form of an intelligent system. Both common mistakes and the way they are overcome are explained through a real world example.en
dc.relation.isversionofjnlnameInformation and Software Technology
dc.relation.isversionofjnlvol42en
dc.relation.isversionofjnlissue5en
dc.relation.isversionofjnldate2000
dc.relation.isversionofjnlpages333-345en
dc.relation.isversionofdoihttp://dx.doi.org/10.1016/S0950-5849(99)00093-2en
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherElsevieren
dc.subject.ddclabelIntelligence artificielleen


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