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dc.contributor.authorPoelmans, Jonas
dc.contributor.authorDedene, Guido (+)
dc.contributor.authorSnoeck, Monique
dc.contributor.authorViaene, Stijn
dc.date.accessioned2017-12-02T14:42:45Z
dc.date.available2017-12-02T14:42:45Z
dc.date.issued2012
dc.identifier.doi10.1016/j.eswa.2012.01.154
dc.identifier.urihttp://hdl.handle.net/20.500.12127/4428
dc.description.abstractIn this paper, we propose an expert system for iterative requirements engineering using Formal Concept Analysis. The requirements engineering approach is grounded in the theoretical framework of C–K theory. An essential result of this approach is that we obtain normalized class models. Compared to traditional UML class models, these normalized models are free of ambiguities such as many-to-many, optional-to-optional or reflexive associations which cause amongst others problems at design time. FCA has the benefit of providing a partial ordering of the objects in the conceptual model based on the use cases in which they participate. The four operators of the C–K design square give a clear structure to the requirements engineering process: elaboration, verification, modification and validation. In each of these steps the FCA lattice visualization plays a pivotal role. We empirically show how the strategy works by applying it to a set of case studies and a modeling experiment in which 20 students took part.
dc.language.isoen
dc.subjectSoftware Engineering
dc.subjectFCA
dc.subjectExpert System
dc.subjectScience & Technology
dc.subjectTechnology
dc.subjectComputer Science, Artificial Intelligence
dc.subjectEngineering, Electrical & Electronic
dc.subjectOperations Research & Management Science
dc.subjectComputer Science
dc.subjectEngineering
dc.subjectQuality
dc.subjectUML
dc.subjectArtificial Intelligence & Image Processing
dc.titleAn iterative requirements engineering framework based on formal concept analysis and C-K theory
dc.identifier.journalExpert Systems with Applications
dc.source.volume39
dc.source.issue9
dc.source.beginpage8115
dc.source.endpage8135
vlerick.knowledgedomainOperations & Supply Chain Management
vlerick.typearticleArticle in academic journal
vlerick.vlerickdepartmentTOM
dc.identifier.vperid51528
dc.identifier.vperid141017
dc.identifier.vperid153121
dc.identifier.vperid76321
dc.identifier.vpubid5275


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