{"id":"https://openalex.org/W2279142839","doi":"https://doi.org/10.1145/2811681.2811699","title":"Performance Evaluation of Ensemble Methods For Software Fault Prediction","display_name":"Performance Evaluation of Ensemble Methods For Software Fault Prediction","publication_year":2015,"publication_date":"2015-09-28","ids":{"openalex":"https://openalex.org/W2279142839","doi":"https://doi.org/10.1145/2811681.2811699","mag":"2279142839"},"language":"en","primary_location":{"id":"doi:10.1145/2811681.2811699","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2811681.2811699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ASWEC 2015 24th Australasian Software Engineering Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101426642","display_name":"Shahid Hussain","orcid":"https://orcid.org/0000-0001-5945-3467"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Shahid Hussain","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051403641","display_name":"Jacky Keung","orcid":"https://orcid.org/0000-0002-3803-9600"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jacky Keung","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044974108","display_name":"Arif Ali Khan","orcid":"https://orcid.org/0000-0002-8479-1481"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Arif Ali Khan","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012394915","display_name":"Kwabena Ebo Bennin","orcid":"https://orcid.org/0000-0001-9140-9271"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kwabena Ebo Bennin","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101426642"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":3.973,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.94343708,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.7959318161010742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7490965127944946},{"id":"https://openalex.org/keywords/c4.5-algorithm","display_name":"C4.5 algorithm","score":0.6885311603546143},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6153874397277832},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5796782970428467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.571091890335083},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5366648435592651},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.519295871257782},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.51186603307724},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.47853168845176697},{"id":"https://openalex.org/keywords/cascading-classifiers","display_name":"Cascading classifiers","score":0.46444278955459595},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4540787637233734},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.32859110832214355},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.287623792886734},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.2539876699447632}],"concepts":[{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.7959318161010742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490965127944946},{"id":"https://openalex.org/C52003472","wikidata":"https://www.wikidata.org/wiki/Q1022655","display_name":"C4.5 algorithm","level":4,"score":0.6885311603546143},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6153874397277832},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5796782970428467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.571091890335083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5366648435592651},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.519295871257782},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.51186603307724},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.47853168845176697},{"id":"https://openalex.org/C40651066","wikidata":"https://www.wikidata.org/wiki/Q5048220","display_name":"Cascading classifiers","level":4,"score":0.46444278955459595},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4540787637233734},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.32859110832214355},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.287623792886734},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.2539876699447632},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2811681.2811699","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2811681.2811699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ASWEC 2015 24th Australasian Software Engineering Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W74649515","https://openalex.org/W313781064","https://openalex.org/W1503201211","https://openalex.org/W1509092951","https://openalex.org/W1587315015","https://openalex.org/W1785944873","https://openalex.org/W1975782893","https://openalex.org/W2009786711","https://openalex.org/W2017439596","https://openalex.org/W2023294425","https://openalex.org/W2024650695","https://openalex.org/W2025659008","https://openalex.org/W2025700486","https://openalex.org/W2034445489","https://openalex.org/W2035519409","https://openalex.org/W2042614373","https://openalex.org/W2100805904","https://openalex.org/W2102259358","https://openalex.org/W2107643286","https://openalex.org/W2110431240","https://openalex.org/W2112032657","https://openalex.org/W2121866145","https://openalex.org/W2135293965","https://openalex.org/W2158864412","https://openalex.org/W2160988203","https://openalex.org/W2163590173","https://openalex.org/W2165980810","https://openalex.org/W2167363007","https://openalex.org/W2474305204","https://openalex.org/W2486427871","https://openalex.org/W2487087946","https://openalex.org/W2522857494","https://openalex.org/W3041853209","https://openalex.org/W4285719527","https://openalex.org/W4312594776"],"related_works":["https://openalex.org/W1970518052","https://openalex.org/W1933712933","https://openalex.org/W2106647409","https://openalex.org/W3164449650","https://openalex.org/W2046975922","https://openalex.org/W194158874","https://openalex.org/W744859113","https://openalex.org/W2887207835","https://openalex.org/W2958312716","https://openalex.org/W2368143139"],"abstract_inverted_index":{"In":[0,65,113,133],"object-oriented":[1],"software":[2,193],"development,":[3],"a":[4,40],"plethora":[5],"of":[6,16,59,74,119,126,158,170],"studies":[7],"have":[8],"been":[9,26],"carried":[10],"out":[11],"to":[12,39,45,115,154,176],"present":[13],"the":[14,46,56,72,85,117,156],"application":[15],"machine":[17,50],"learning":[18,51],"algorithms":[19],"for":[20,144,192],"fault":[21,194],"prediction.":[22,195],"Furthermore,":[23],"it":[24],"has":[25],"empirically":[27],"validated":[28],"that":[29],"an":[30],"ensemble":[31,60,76,93,120,159,172,182,190],"method":[32],"can":[33],"improve":[34],"classification":[35,57],"performance":[36,58,73,118,157,168],"as":[37,174],"compared":[38,175],"single":[41],"classifier.":[42],"But,":[43],"due":[44],"inherent":[47],"differences":[48],"among":[49,181],"and":[52,70,80,97,108,141,161,180],"data":[53],"mining":[54],"approaches,":[55],"methods":[61,77,94,160,173,183,191],"will":[62],"be":[63],"varied.":[64],"this":[66,134],"study,":[67],"we":[68,90,122,136,147,165,184],"investigated":[69],"evaluated":[71],"different":[75],"with":[78,99],"itself":[79],"base-level":[81,101,162,178],"classifiers,":[82],"in":[83,110],"predicting":[84],"faults":[86],"proneness":[87],"classes.":[88],"Subsequently,":[89],"used":[91,137,148],"three":[92],"AdaboostM1,":[95],"Vote":[96],"StackingC":[98,186],"five":[100],"classifiers":[102],"namely":[103],"Naivebayes,":[104],"Logistic,":[105],"J48,":[106],"VotedPerceptron":[107],"SMO":[109],"Weka":[111],"tool.":[112],"order":[114],"evaluate":[116,155],"methods,":[121],"retrieved":[123],"twelve":[124],"datasets":[125],"open":[127],"source":[128],"projects":[129],"from":[130],"PROMISE":[131],"repository.":[132],"experiment,":[135],"k-fold":[138],"(k=10)":[139],"cross-validation":[140],"ROC":[142],"analysis":[143],"validation.":[145],"Besides,":[146],"recall,":[149],"precision,":[150],"accuracy,":[151],"F-value":[152],"measures":[153],"Classifiers.":[163],"Finally,":[164],"observed":[166,185],"significant":[167],"improvement":[169],"applying":[171],"its":[177],"classifier,":[179],"outperformed":[187],"other":[188],"selected":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}