{"id":"https://openalex.org/W2980237547","doi":"https://doi.org/10.1109/jcsse.2019.8864165","title":"Software defect detection based on selected complexity metrics using fuzzy association rule mining and defective module oversampling","display_name":"Software defect detection based on selected complexity metrics using fuzzy association rule mining and defective module oversampling","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2980237547","doi":"https://doi.org/10.1109/jcsse.2019.8864165","mag":"2980237547"},"language":"en","primary_location":{"id":"doi:10.1109/jcsse.2019.8864165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse.2019.8864165","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th International Joint Conference on Computer Science and Software Engineering (JCSSE)","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/A5072198107","display_name":"Mohammad Farid Naufal","orcid":"https://orcid.org/0000-0002-1194-2760"},"institutions":[{"id":"https://openalex.org/I16413167","display_name":"University of Surabaya","ror":"https://ror.org/013314927","country_code":"ID","type":"education","lineage":["https://openalex.org/I16413167"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Mohammad Farid Naufal","raw_affiliation_strings":["Department of Informatics, Universitas Surabaya, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Universitas Surabaya, Surabaya, Indonesia","institution_ids":["https://openalex.org/I16413167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080158384","display_name":"Selvia Ferdiana Kusuma","orcid":"https://orcid.org/0000-0002-7366-1542"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Selvia Ferdiana Kusuma","raw_affiliation_strings":["Department of Informatic, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Informatic, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072198107"],"corresponding_institution_ids":["https://openalex.org/I16413167"],"apc_list":null,"apc_paid":null,"fwci":0.3522,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70173193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"29","issue":null,"first_page":"330","last_page":"335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9998000264167786,"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":0.9998000264167786,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.7248348593711853},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6562365293502808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6414694786071777},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6296532154083252},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6079832315444946},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.6044698357582092},{"id":"https://openalex.org/keywords/software-bug","display_name":"Software bug","score":0.5909073948860168},{"id":"https://openalex.org/keywords/software-metric","display_name":"Software metric","score":0.5814667344093323},{"id":"https://openalex.org/keywords/cyclomatic-complexity","display_name":"Cyclomatic complexity","score":0.4631217420101166},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4401895999908447},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.41525474190711975},{"id":"https://openalex.org/keywords/software-quality","display_name":"Software quality","score":0.38539475202560425},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.360838919878006},{"id":"https://openalex.org/keywords/software-development","display_name":"Software development","score":0.342116117477417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3303515911102295},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1098705530166626},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0998181700706482}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.7248348593711853},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6562365293502808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6414694786071777},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6296532154083252},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6079832315444946},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.6044698357582092},{"id":"https://openalex.org/C1009929","wikidata":"https://www.wikidata.org/wiki/Q179550","display_name":"Software bug","level":3,"score":0.5909073948860168},{"id":"https://openalex.org/C82214349","wikidata":"https://www.wikidata.org/wiki/Q657339","display_name":"Software metric","level":5,"score":0.5814667344093323},{"id":"https://openalex.org/C187303228","wikidata":"https://www.wikidata.org/wiki/Q867330","display_name":"Cyclomatic complexity","level":3,"score":0.4631217420101166},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4401895999908447},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.41525474190711975},{"id":"https://openalex.org/C117447612","wikidata":"https://www.wikidata.org/wiki/Q1412670","display_name":"Software quality","level":4,"score":0.38539475202560425},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.360838919878006},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.342116117477417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3303515911102295},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1098705530166626},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0998181700706482},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jcsse.2019.8864165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse.2019.8864165","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th International Joint Conference on Computer Science and Software Engineering (JCSSE)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.ubaya.ac.id:36635","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/8864165","pdf_url":null,"source":{"id":"https://openalex.org/S4306402324","display_name":"Ubaya Repository (University of Surabaya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I16413167","host_organization_name":"University of Surabaya","host_organization_lineage":["https://openalex.org/I16413167"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W76990466","https://openalex.org/W1495061682","https://openalex.org/W1532791960","https://openalex.org/W1641749581","https://openalex.org/W1964962870","https://openalex.org/W1970789984","https://openalex.org/W2012319196","https://openalex.org/W2026750231","https://openalex.org/W2048232769","https://openalex.org/W2063370556","https://openalex.org/W2064853889","https://openalex.org/W2099454382","https://openalex.org/W2099919734","https://openalex.org/W2133990480","https://openalex.org/W2139038057","https://openalex.org/W2140187489","https://openalex.org/W2146938372","https://openalex.org/W2148143831","https://openalex.org/W2512175082","https://openalex.org/W6631849013","https://openalex.org/W6636756987","https://openalex.org/W6680605952"],"related_works":["https://openalex.org/W2183031094","https://openalex.org/W1975599245","https://openalex.org/W4367596435","https://openalex.org/W1177109592","https://openalex.org/W1966702338","https://openalex.org/W2949064622","https://openalex.org/W2148423957","https://openalex.org/W1977298818","https://openalex.org/W2084729288","https://openalex.org/W2101933462"],"abstract_inverted_index":{"Software":[0,166],"defect":[1,41,96,134,167],"is":[2,26,72,106,124,154,176],"a":[3,27],"major":[4],"problem":[5],"in":[6,116,197],"software":[7,12,19,40,54,95,133,199],"development.":[8],"The":[9,119,137],"cost":[10],"of":[11,46,53,110,121,139,181],"development":[13],"will":[14],"be":[15,36,144],"minimized":[16],"when":[17],"the":[18,51,63,76,158,179],"defects":[20],"are":[21],"detected":[22],"earlier.":[23],"Complexity":[24],"metric":[25],"mathematic":[28],"calculation":[29],"to":[30,38,61,143,156],"calculate":[31],"code":[32],"complexity.":[33],"It":[34,130],"could":[35],"used":[37,73,155],"consider":[39],"detection.":[42],"But,":[43,104],"not":[44,113,127,163],"all":[45],"complexity":[47,66,79,102,182],"metrics":[48,183],"influent":[49,65,78],"on":[50,85,100,202],"occurrence":[52],"defect,":[55],"therefore":[56],"it":[57],"needs":[58],"feature":[59],"selection":[60,180],"select":[62],"most":[64,77],"metrics.":[67,80,103],"Correlation-based":[68],"Feature":[69],"Selection":[70],"(CFS)":[71],"for":[74],"selecting":[75],"This":[81],"study":[82],"conducted":[83],"experiments":[84],"NASA":[86,92,117,203],"Metric":[87],"Data":[88],"Program":[89],"(MDP)":[90],"datasets.":[91],"MDP":[93,204],"contains":[94],"history":[97],"logs":[98],"based":[99],"several":[101],"there":[105],"an":[107],"imbalanced":[108],"distribution":[109,120,138,159],"defective":[111,114,122,128,140,161,164,200],"and":[112,162,186,194],"modules":[115,123,201],"MDP.":[118],"less":[125],"than":[126],"modules.":[129,165],"can":[131],"reduce":[132],"detection":[135,168],"performance.":[136],"module":[141],"need":[142],"reproduced.":[145],"In":[146],"this":[147],"study,":[148],"Synthetic":[149],"Minority":[150],"Oversampling":[151],"Technique":[152],"(SMOTE)":[153],"balance":[157],"between":[160],"using":[169,184,189],"Fuzzy":[170],"Association":[171],"Rule":[172],"Mining":[173],"(FARM)":[174],"which":[175],"combined":[177],"with":[178],"CFS":[185],"dataset":[187],"balancing":[188],"SMOTE":[190],"has":[191],"sensitivity":[192],"85.51%":[193],"accuracy":[195],"91.63%":[196],"detecting":[198],"dataset.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}