{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T22:55:37Z","timestamp":1769727337706,"version":"3.49.0"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100010023","name":"Natural Science Research of Jiangsu Higher Education Institutions of China","doi-asserted-by":"publisher","award":["18KJB520016"],"award-info":[{"award-number":["18KJB520016"]}],"id":[{"id":"10.13039\/501100010023","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61673384"],"award-info":[{"award-number":["61673384"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangxi Key Laboratory of Trusted Software","award":["kx201704"],"award-info":[{"award-number":["kx201704"]}]},{"DOI":"10.13039\/501100004030","name":"Jiangsu Normal University","doi-asserted-by":"publisher","award":["17XLR001"],"award-info":[{"award-number":["17XLR001"]}],"id":[{"id":"10.13039\/501100004030","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004030","name":"Jiangsu Normal University","doi-asserted-by":"publisher","award":["17XLR042"],"award-info":[{"award-number":["17XLR042"]}],"id":[{"id":"10.13039\/501100004030","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2895614","type":"journal-article","created":{"date-parts":[[2019,1,31]],"date-time":"2019-01-31T20:33:37Z","timestamp":1548966817000},"page":"35710-35718","source":"Crossref","is-referenced-by-count":44,"title":["An Empirical Study on the Effectiveness of Feature Selection for Cross-Project Defect Prediction"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0962-826X","authenticated-orcid":false,"given":"Qiao","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junyan","family":"Qian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0643-0565","authenticated-orcid":false,"given":"Shujuan","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenhua","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gongjie","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1002\/spe.1043"},{"key":"ref38","first-page":"338","article-title":"Estimating continuous distributions in Bayesian classifiers","author":"john","year":"1995","journal-title":"Proc Conf Uncert Artif Intell"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2013.11"},{"key":"ref32","first-page":"271","article-title":"Comparative study of attribute selection using gain ratio and correlation based feature selection","volume":"2","author":"karegowda","year":"2010","journal-title":"Int J Inf Technol Knowl Manage"},{"key":"ref31","first-page":"1157","article-title":"An introduction to variable and feature selection","volume":"3","author":"guyon","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.1601322"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/BF00153759"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2017.06.070"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2014.07.005"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.50"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSAC.2015.58"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SATE.2016.22"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.2307\/3001968"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-015-1575-5"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10664-008-9103-7"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ESEM.2013.20"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2014.11.006"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2017.06.004"},{"key":"ref17","first-page":"254","article-title":"A survey on cross-project software defect prediction methods","volume":"41","author":"chen","year":"2018","journal-title":"Chin J Comput"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2017.2724538"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2017.2770124"},{"key":"ref4","first-page":"967","article-title":"Cost-sensitive feature selection with application in software defect prediction","author":"miao","year":"2012","journal-title":"Proc Int Conf Pattern Recognit"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2884781.2884804"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1016\/j.asoc.2014.11.023","article-title":"A systematic review of machine learning techniques for software fault prediction","volume":"27","author":"malhotra","year":"2015","journal-title":"Appl Soft Comput"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"1062","DOI":"10.1016\/j.asoc.2016.04.009","article-title":"Effective multi-objective Naïve Bayes learning for cross-project defect prediction","volume":"49","author":"ryu","year":"2016","journal-title":"Appl Soft Comput"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSAC.2014.66"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10796-013-9430-0"},{"key":"ref29","article-title":"Correlation-based feature selection for machine learning","author":"hall","year":"1999"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1595696.1595713"},{"key":"ref7","first-page":"26","article-title":"Survey on transfer learning research","volume":"26","author":"zhuang","year":"2015","journal-title":"J Softw"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2013.02.009"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2013.6606584"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2011.103"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2002.1019484"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10515-011-0090-3"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2884781.2884839"},{"key":"ref41","author":"cohen","year":"1988","journal-title":"Statistical Power Analysis for the Behavioral Sciences"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/SNPD.2012.34"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2393596.2393669"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2016.2543218"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08631158.pdf?arnumber=8631158","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T10:26:46Z","timestamp":1643279206000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8631158\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2895614","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}