{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T22:04:36Z","timestamp":1769205876514,"version":"3.49.0"},"reference-count":16,"publisher":"Wiley","license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61300093"],"award-info":[{"award-number":["61300093"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["ZYGX2013J071"],"award-info":[{"award-number":["ZYGX2013J071"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fundamental Research Funds for the Central Universities in China","award":["61300093"],"award-info":[{"award-number":["61300093"]}]},{"name":"Fundamental Research Funds for the Central Universities in China","award":["ZYGX2013J071"],"award-info":[{"award-number":["ZYGX2013J071"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Applied Mathematics"],"published-print":{"date-parts":[[2014]]},"abstract":"<jats:p>This paper mainly deals with how kernel method can be used for software defect prediction, since the class imbalance can greatly reduce the performance of defect prediction. In this paper, two classifiers, namely, the asymmetric kernel partial least squares classifier (AKPLSC) and asymmetric kernel principal component analysis classifier (AKPCAC), are proposed for solving the class imbalance problem. This is achieved by applying kernel function to the asymmetric partial least squares classifier and asymmetric principal component analysis classifier, respectively. The kernel function used for the two classifiers is Gaussian function. Experiments conducted on NASA and SOFTLAB data sets using<jats:italic>F<\/jats:italic>-measure, Friedman\u2019s test, and Tukey\u2019s test confirm the validity of our methods.<\/jats:p>","DOI":"10.1155\/2014\/785435","type":"journal-article","created":{"date-parts":[[2014,2,23]],"date-time":"2014-02-23T16:05:58Z","timestamp":1393171558000},"page":"1-8","source":"Crossref","is-referenced-by-count":34,"title":["On Software Defect Prediction Using Machine Learning"],"prefix":"10.1155","volume":"2014","author":[{"given":"Jinsheng","family":"Ren","sequence":"first","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu 611731, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Qin","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu 611731, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Ma","sequence":"additional","affiliation":[{"name":"Xiamen University of Technology, Xiamen 361024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangchun","family":"Luo","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu 611731, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2002.804488"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2007.256941"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2011.09.007"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2009.2027131"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1002\/cem.785"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.11.008"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.258"},{"key":"12","year":"1986"},{"issue":"3","key":"2","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1007\/s521-001-8051-z","volume":"10","year":"2001","journal-title":"Neural Computing and Applications"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.E95.D.267"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.E95.D.267"},{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.05.002"},{"key":"19","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","year":"2002","journal-title":"Journal of Artificial Intelligence Research"},{"issue":"32","key":"24","first-page":"C675","year":"1937","journal-title":"Journal of the American Statistical Association"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177731944"},{"key":"26","year":"2006"}],"container-title":["Journal of Applied Mathematics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/jam\/2014\/785435.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jam\/2014\/785435.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jam\/2014\/785435.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T18:18:42Z","timestamp":1565201922000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/jam\/2014\/785435\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":16,"alternative-id":["785435","785435"],"URL":"https:\/\/doi.org\/10.1155\/2014\/785435","relation":{},"ISSN":["1110-757X","1687-0042"],"issn-type":[{"value":"1110-757X","type":"print"},{"value":"1687-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}