{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:02:25Z","timestamp":1775066545420,"version":"3.50.1"},"reference-count":72,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IIEEE Trans. Software Eng."],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1109\/tse.2025.3624631","type":"journal-article","created":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T17:51:29Z","timestamp":1761241889000},"page":"3632-3653","source":"Crossref","is-referenced-by-count":1,"title":["Contrasting the Hyperparameter Tuning Impact Across Software Defect Prediction Scenarios"],"prefix":"10.1109","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3145-6513","authenticated-orcid":false,"given":"Mohamed Sami","family":"Rakha","sequence":"first","affiliation":[{"name":"Department of Computer Science, Toronto Metropolitan University, Toronto, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7747-9043","authenticated-orcid":false,"given":"Andriy","family":"Miranskyy","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Toronto Metropolitan University, Toronto, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4525-3266","authenticated-orcid":false,"given":"Daniel Alencar","family":"da Costa","sequence":"additional","affiliation":[{"name":"School of Computing, University of Otago, Dunedin, New Zealand"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/PROMISE.2007.10"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1166\/asl.2014.5641"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2810146.2810149"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MSR.2010.5463279"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1985793.1985859"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10515-011-0090-3"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2597073.2597078"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2884781.2884839"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2021.3131950"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2884781.2884857"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2016.04.017"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MALTESQUE.2017.7882014"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2018.2794977"},{"key":"ref14","article-title":"Caret package","author":"Kuhn"},{"key":"ref15","article-title":"Multisearch-weka-package"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2005.1554795"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s10664-018-9679-5"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3377811.3380360"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2019.2924371"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3180155.3180197"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/smr.2367"},{"key":"ref22","article-title":"Why is differential evolution better than grid search for tuning defect predictors?","author":"Fu"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3211978"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2021.3073242"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE43902.2021.00050"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(02)00601-X"},{"issue":"53","key":"ref27","first-page":"1","article-title":"Tunability: Importance of hyperparameters of machine learning algorithms","volume":"20","author":"Probst","year":"2019","journal-title":"J. Mach. Learn. Res."},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2011.02.001"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2021.3056941"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/MSR52588.2021.00055"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780195099713.001.0001"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/0045-7825(83)90051-8"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.5555\/2188385.2188395"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.1995.598994"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2016.2584050"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2968362"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.116217"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1049\/iet-sen.2011.0132"},{"key":"ref39","article-title":"R package defectdata","author":"Tantithamthavorn"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2019.03.027"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/2245276.2231967"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121251"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/MSR.2017.4"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2015.91"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2013.11"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s10664-022-10261-z"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s10664-015-9404-6"},{"key":"ref48","article-title":"R: A Language and Environment for Statistical Computing","volume-title":"R Version","volume":"4","year":"2023"},{"issue":"5","key":"ref49","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v028.i05","article-title":"Building predictive models in r using the caret package\u2014Version 6.0.94","volume":"28","author":"Kuhn","year":"2008","journal-title":"J. Statistical Softw."},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0177678"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2008.35"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.2307\/2288636"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2019.00075"},{"issue":"4","key":"ref54","first-page":"768","article-title":"Bootstrap tutorial","volume":"9","author":"Varian","year":"2005","journal-title":"Mathematica J."},{"key":"ref55","article-title":"Digital research alliance of Canada"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.2307\/2333825"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1002\/0471264385.wei0225"},{"key":"ref58","first-page":"121","article-title":"Exploring methods for evaluating group differences on the NSSE and other surveys: Are the t-test and Cohens\u2019d indices the most appropriate choices","author":"Romano","year":"2006","journal-title":"in Annu. Meet. Southern Assoc. Institutional Res."},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.323.7309.391"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1145\/3589342"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSAC.2019.00017"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2015.93"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/2597073.2597116"},{"issue":"4","key":"ref64","first-page":"331","article-title":"Survey on software defect prediction techniques","volume":"17","author":"Thota","year":"2020","journal-title":"Int. J. Appl. Sci. Eng."},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2008.12.001"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-29044-2"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.4135\/9781446260968"},{"key":"ref68","first-page":"867","article-title":"Towards a better understanding of the impact of experimental components on defect prediction modelling","volume-title":"Proc. IEEE\/ACM 38th Int. Conf. Softw. Eng. Companion (ICSE-C).","author":"Tantithamthavorn","year":"2016"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.3390\/pr11020349"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.scico.2014.11.013"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2023.107192"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1145\/3712005"}],"container-title":["IEEE Transactions on Software Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/32\/11298241\/11215844.pdf?arnumber=11215844","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T12:28:37Z","timestamp":1766060917000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11215844\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":72,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tse.2025.3624631","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":[[2025,12]]}}}