{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T17:46:53Z","timestamp":1772041613261,"version":"3.50.1"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T00:00:00Z","timestamp":1627776000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T00:00:00Z","timestamp":1627776000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T00:00:00Z","timestamp":1627776000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2016R1C1B1011042"],"award-info":[{"award-number":["NRF-2016R1C1B1011042"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Next-Generation Information Computing Development Program"},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2017M3C4A7068179"],"award-info":[{"award-number":["2017M3C4A7068179"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IIEEE Trans. Software Eng."],"published-print":{"date-parts":[[2021,8,1]]},"DOI":"10.1109\/tse.2019.2930977","type":"journal-article","created":{"date-parts":[[2019,7,25]],"date-time":"2019-07-25T19:53:35Z","timestamp":1564084415000},"page":"1605-1625","source":"Crossref","is-referenced-by-count":19,"title":["Empirical Evaluation of Fault Localisation Using Code and Change Metrics"],"prefix":"10.1109","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8093-2996","authenticated-orcid":false,"given":"Jeongju","family":"Sohn","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0836-6993","authenticated-orcid":false,"given":"Shin","family":"Yoo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"2171","article-title":"DEAP: Evolutionary algorithms made easy","volume":"13","author":"fortin","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref38","article-title":"Cobertura: A code coverage ut","year":"2007"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/3206.001.0001"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33119-0_18"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1561\/1500000016"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2025113.2025156"},{"key":"ref37","article-title":"JaCoCo","year":"2016"},{"key":"ref36","first-page":"18","article-title":"Classification and Regression by randomForest","volume":"2","author":"liaw","year":"2002","journal-title":"R News"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s10515-015-0189-z"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/2931037.2931039"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2786805.2786849"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/1985793.1985808"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2012.6227193"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2012.14"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/stvr.294"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3092703.3092717"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-39742-4_17"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2610384.2628055"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1368088.1368114"},{"key":"ref23","first-page":"284","article-title":"Use of relative code churn measures to predict system defect density","author":"nagappan","year":"2005","journal-title":"Proc 27th Int l Conf Software Eng"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10515-010-0069-5"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/MSR.2010.5463279"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICST.2014.28"},{"key":"ref51","article-title":"SciPy: Open source scientific tools for Python","author":"jones","year":"2001"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICST.2018.00019"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1002\/stvr.1509"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/3092703.3092731"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/2786805.2786880"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/302405.302467"},{"key":"ref54","article-title":"No pot of gold at the end of program spectrum rainbow: Greatest risk evaluation formula does not exist","author":"yoo","year":"2014"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/581396.581397"},{"key":"ref52","first-page":"71","article-title":"Visualization for fault localization","author":"jones","year":"2001","journal-title":"Proc ICSE Workshop Softw Vis"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2003.1240292"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2009.25"},{"key":"ref40","author":"poli","year":"2008","journal-title":"A Field Guide to Genetic Programming"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1085130.1085143"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1101908.1101949"},{"key":"ref14","article-title":"Software debugging using program spectra","author":"lee","year":"2011"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSAC.2007.109"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2001420.2001445"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICSME.2014.41"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2931037.2931049"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3078840"},{"key":"ref4","article-title":"The economic impacts of inadequate infrastructure for software testing","author":"tassey","year":"2002"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1065010.1065036"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2012.6227211"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1569901.1570031"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2522920.2522924"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2016.2521368"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/2483760.2483785"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2483760.2483767"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00571"},{"key":"ref45","article-title":"Hyperopt: Distributed asynchronous hyper-parameter optimization","author":"bergstra","year":"2013"},{"key":"ref48","first-page":"108","article-title":"API design for machine learning software: experiences from the scikit-learn project","author":"buitinck","year":"2013","journal-title":"Proc ECML PKDD Workshop Lang Data Mining Mach Learn"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1111\/j.1541-0420.2007.00758.x"},{"key":"ref41","first-page":"1257","article-title":"Sparse Gaussian processes using pseudo-inputs","author":"snelson","year":"2006","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref44","article-title":"GPy: A Gaussian process framework in python","year":"2012"},{"key":"ref43","article-title":"Gaussian processes for big data","author":"hensman","year":"2013","journal-title":"CoRR"}],"container-title":["IEEE Transactions on Software Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/32\/9512528\/08772166.pdf?arnumber=8772166","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:05Z","timestamp":1652194205000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8772166\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,1]]},"references-count":61,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tse.2019.2930977","relation":{},"ISSN":["0098-5589","1939-3520","2326-3881"],"issn-type":[{"value":"0098-5589","type":"print"},{"value":"1939-3520","type":"electronic"},{"value":"2326-3881","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,1]]}}}