Identifying software component association with genetic algorithm

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dc.contributor.author Yan, Xiaowei en_US
dc.contributor.author Zhang, Chengqi en_US
dc.contributor.author Zhang, Shichao en_US
dc.date.accessioned 2009-12-21T02:31:20Z
dc.date.available 2009-12-21T02:31:20Z
dc.date.issued 2004 en_US
dc.identifier 2004000073 en_US
dc.identifier.citation Yan Xiaowei, Zhang Chengqi, and Zhang Shichao 2004, 'Identifying software component association with genetic algorithm', World Scientific Publ Co Pte Ltd, vol. 14, no. 4, pp. 441-447. en_US
dc.identifier.issn 0218-1940 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/4009
dc.description.abstract Identifying software component association is useful for component management and component retrieval. In this paper we design an evolutionary strategy to understand software structure better and identify software component association, by using genetic algorithm. Our mining strategy is effective for global search, especially when the searched space is so large that it is hardly possible to use deterministic search method. en_US
dc.publisher World Scientific Publ Co Pte Ltd en_US
dc.relation.isbasedon http://dx.doi.org/10.1142/S0218194004001695 en_US
dc.title Identifying software component association with genetic algorithm en_US
dc.parent International Journal Of Software Engineering And Knowledge Engineering en_US
dc.journal.volume 14 en_US
dc.journal.number 4 en_US
dc.publocation Singapore en_US
dc.identifier.startpage 441 en_US
dc.identifier.endpage 447 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 080309 en_US
dc.personcode 02099760 en_US
dc.personcode 011221 en_US
dc.personcode 020030 en_US
dc.percentage 100 en_US
dc.classification.name Software Engineering en_US
dc.classification.type FOR-08 en_US
dc.description.keywords Software component; association data mining; genetic algorithm en_US
dc.staffid 020030 en_US


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