{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T00:46:44Z","timestamp":1649033204659},"reference-count":12,"publisher":"World Scientific Pub Co Pte Lt","issue":"05","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Soft. Eng. Knowl. Eng."],"published-print":{"date-parts":[[2004,10]]},"abstract":"<jats:p> Software Engineering is not only a technical discipline of its own, but also a problem domain where technologies coming from other disciplines are relevant and can play important roles. One important example is knowledge engineering, a term that is used in a broad sense to encompass artificial intelligence, computational intelligence, knowledge bases, data mining, and machine learning [13]. Many typical software development issues can benefit from these disciplines. For this reason, we will employ computational intelligence approach to classify software component repository into similar component cluster groups with the help of Rival Penalized Competitive Learning algorithm. The center of each cluster will be used to construct the coarse grain classification indexing structure. Subsequent retrieval requirements of software components are compared with all the indexed cluster centers. Any software components belonging to the cluster partition whose center is closest to the required software component will be retrieved and participated in selecting the most suitable software component at the fine grain level. This approach not only is suitable for multi-dimensional data, but also automatically decides the correct model classification. <\/jats:p>","DOI":"10.1142\/s0218194004001774","type":"journal-article","created":{"date-parts":[[2004,10,25]],"date-time":"2004-10-25T08:13:15Z","timestamp":1098691995000},"page":"497-518","source":"Crossref","is-referenced-by-count":5,"title":["AN RPCL-BASED INDEXING APPROACH FOR SOFTWARE COMPONENT CLASSIFICATION"],"prefix":"10.1142","volume":"14","author":[{"given":"SATHIT","family":"NAKKRASAE","sequence":"first","affiliation":[{"name":"Department of Computer Technology, Faculty  of Science, Ramkhamhaeng University, Bangkok, 10240, Thailand"}]},{"given":"PERAPHON","family":"SOPHATSATHIT","sequence":"additional","affiliation":[{"name":"Advanced Virtual and Intelligent Computing  (AVIC) Center, Department of Mathematics, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1109\/3477.809033"},{"key":"rf3","unstructured":"Y.\u00a0Cheung and L.\u00a0Xu, IEEE Signal Processing Letters (2000)\u00a0pp. 284\u2013287."},{"key":"rf4","unstructured":"P.\u00a0Devanbu, Commun. ACM (1991)\u00a0pp. 249\u2013261."},{"key":"rf5","first-page":"283","volume":"1","author":"Ehikioya S. A.","journal-title":"IEEE Canadian Conf. on Electrical and Computer Engineering"},{"key":"rf6","unstructured":"S.\u00a0Haykin, Neural Network (Prentice Hall, 1999)\u00a0pp. 256\u2013312."},{"key":"rf10","unstructured":"H.\u00a0Mili, F.\u00a0Mili and A.\u00a0Mili, IEEE Trans. on Software Engineering (1995)\u00a0pp. 528\u2013562."},{"key":"rf12","unstructured":"E.\u00a0Ostertag, ACM Trans. on Software Engineering and Methodology (1992)\u00a0pp. 205\u2013228."},{"key":"rf15","volume-title":"Software Engineering, A Practitioner's Approach","author":"Pressman R. S.","year":"1997"},{"key":"rf16","doi-asserted-by":"publisher","DOI":"10.1109\/72.238318"},{"key":"rf17","first-page":"2525","volume":"3","author":"Xu L.","journal-title":"Proc. 1998 IEEE Int. Conf. on Neural Networks, Anchorage, Alaska"},{"key":"rf18","unstructured":"A. M.\u00a0Zaremski and J. M.\u00a0Wing, ACM Trans. Software Engineering and Methodology (TOSEM) (1995)\u00a0pp. 146\u2013170."},{"key":"rf19","doi-asserted-by":"publisher","DOI":"10.1145\/222124.222135"}],"container-title":["International Journal of Software Engineering and Knowledge Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218194004001774","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T21:47:14Z","timestamp":1565128034000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218194004001774"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004,10]]},"references-count":12,"journal-issue":{"issue":"05","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2004,10]]}},"alternative-id":["10.1142\/S0218194004001774"],"URL":"https:\/\/doi.org\/10.1142\/s0218194004001774","relation":{},"ISSN":["0218-1940","1793-6403"],"issn-type":[{"value":"0218-1940","type":"print"},{"value":"1793-6403","type":"electronic"}],"subject":[],"published":{"date-parts":[[2004,10]]}}}