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    An iterative requirements engineering framework based on formal concept analysis and C-K theory

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    Publication type
    Journal article with impact factor
    Author
    Poelmans, Jonas
    Dedene, Guido (+)
    Snoeck, M.
    Viaene, Stijn
    Publication Year
    2012
    Journal
    Expert Systems with Applications
    Publication Volume
    39
    Publication Issue
    9
    Publication Begin page
    8115
    Publication End page
    8135
    
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    Abstract
    In 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.
    Keyword
    Software Engineering, FCA, Expert System, Science & Technology, Technology, Computer Science, Artificial Intelligence, Engineering, Electrical & Electronic, Operations Research & Management Science, Computer Science, Engineering, Quality, UML, Artificial Intelligence & Image Processing, Artificial Intelligence
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    Knowledge Domain/Industry
    Operations & Supply Chain Management
    DOI
    10.1016/j.eswa.2012.01.154
    URI
    http://hdl.handle.net/20.500.12127/4428
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.eswa.2012.01.154
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