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Software Design Retrieval Using Bayesian Networks and WordNet

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Advances in Case-Based Reasoning (ECCBR 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3155))

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Abstract

The complexity of software systems makes design reuse a necessary task in the software development process. CASE tools can provide cognitive assistance in this task, helping the software engineers to select designs to be reused. In this paper, we propose an approach for case indexing and retrieval based on Bayesian Networks, Case-Based Reasoning and WordNet. This approach is integrated in a CASE tool that reuses UML class diagrams, providing cognitive help for the software design phase.

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Author information

Authors and Affiliations

  1. CISUC – Centro de Informática e Sistemas da Universidade de Coimbra, Departamento de Engenharia Informática, Universidade de Coimbra, 3030, Coimbra, Portugal

    Paulo Gomes

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  1. Paulo Gomes
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Editors and Affiliations

  1. Department of Computer Science and Electronics, Mälardalen University, SE-72123, Västerås, Sweden

    Peter Funk

  2. Facultad de Informática, Universidad Complutense de Madrid, 28040, Madrid, Spain

    Pedro A. González Calero

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© 2004 Springer-Verlag Berlin Heidelberg

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Gomes, P. (2004). Software Design Retrieval Using Bayesian Networks and WordNet. In: Funk, P., González Calero, P.A. (eds) Advances in Case-Based Reasoning. ECCBR 2004. Lecture Notes in Computer Science(), vol 3155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28631-8_15

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  • DOI: https://doi.org/10.1007/978-3-540-28631-8_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22882-0

  • Online ISBN: 978-3-540-28631-8

  • eBook Packages: Springer Book Archive

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