{"id":"https://openalex.org/W2186995649","doi":null,"title":"Software Defect Prediction using Bayesian Networks and Kernel Methods","display_name":"Software Defect Prediction using Bayesian Networks and Kernel Methods","publication_year":2015,"publication_date":"2015-03-19","ids":{"openalex":"https://openalex.org/W2186995649","mag":"2186995649"},"language":"en","primary_location":{"id":"pmh:oai:acikerisim.isikun.edu.tr:11729/891","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11729/891","pdf_url":"https://hdl.handle.net/11729/891","source":{"id":"https://openalex.org/S4306401174","display_name":"Akademik A\u00e7\u0131k Eri\u015fim (I\u015f\u0131k \u00dcniversitesi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I167234411","host_organization_name":"I\u015f\u0131k University","host_organization_lineage":["https://openalex.org/I167234411"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Doctoral Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11729/891","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040805050","display_name":"Ahmet Okutan","orcid":"https://orcid.org/0000-0001-6664-515X","observed_orcids":["https://orcid.org/0000-0001-6664-515X","https://orcid.org/0000-0001-8990-6869"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ahmet Okutan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5040805050"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":9.999999747378752e-05,"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/T10430","display_name":"Software Engineering Techniques and Practices","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fault-prediction","display_name":"fault prediction","score":0.8009999990463257},{"id":"https://openalex.org/keywords/software-metrics","display_name":"software metrics","score":0.8320000171661377},{"id":"https://openalex.org/keywords/bayesian-networks","display_name":"Bayesian networks","score":0.6710000038146973},{"id":"https://openalex.org/keywords/kernel-methods","display_name":"kernel methods","score":0.7990000247955322},{"id":"https://openalex.org/keywords/code-similarity","display_name":"code similarity","score":0.6700000166893005},{"id":"https://openalex.org/keywords/plagiarism-detection","display_name":"plagiarism detection","score":0.9160000085830688},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.890999972820282},{"id":"https://openalex.org/keywords/defect-proneness","display_name":"defect proneness","score":0.6420000195503235},{"id":"https://openalex.org/keywords/open-source-software","display_name":"open source software","score":0.6370000243186951},{"id":"https://openalex.org/keywords/code-quality","display_name":"code quality","score":0.6190000176429749},{"id":"https://openalex.org/keywords/class-similarity","display_name":"class similarity","score":0.3490000069141388},{"id":"https://openalex.org/keywords/j48","display_name":"J48 decision tree","score":0.3880000114440918},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"logistic regression","score":0.8109999895095825},{"id":"https://openalex.org/keywords/auc-comparison","display_name":"AUC comparison","score":0.531000018119812},{"id":"https://openalex.org/keywords/tomcat","display_name":"Tomcat","score":0.46399998664855957},{"id":"https://openalex.org/keywords/poi","display_name":"poi","score":0.6549999713897705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7300145626068115},{"id":"https://openalex.org/C1009929","wikidata":"https://www.wikidata.org/wiki/Q179550","display_name":"Software bug","level":3,"score":0.713530421257019},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.628728449344635},{"id":"https://openalex.org/C82214349","wikidata":"https://www.wikidata.org/wiki/Q657339","display_name":"Software metric","level":5,"score":0.6148039698600769},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5860028266906738},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5403488278388977},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5254137516021729},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5090231895446777},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4803944230079651},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4764147996902466},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4492468237876892},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4415384829044342},{"id":"https://openalex.org/C117447612","wikidata":"https://www.wikidata.org/wiki/Q1412670","display_name":"Software quality","level":4,"score":0.42768779397010803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41577309370040894},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.25555896759033203},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2360215187072754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1011858880519867},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:acikerisim.isikun.edu.tr:11729/891","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11729/891","pdf_url":"https://hdl.handle.net/11729/891","source":{"id":"https://openalex.org/S4306401174","display_name":"Akademik A\u00e7\u0131k Eri\u015fim (I\u015f\u0131k \u00dcniversitesi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I167234411","host_organization_name":"I\u015f\u0131k University","host_organization_lineage":["https://openalex.org/I167234411"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Doctoral Thesis"},{"id":"pmh:oai:localhost:11729/891","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/11729/891","pdf_url":null,"source":{"id":"https://openalex.org/S4306401174","display_name":"Akademik A\u00e7\u0131k Eri\u015fim (I\u015f\u0131k \u00dcniversitesi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I167234411","host_organization_name":"I\u015f\u0131k University","host_organization_lineage":["https://openalex.org/I167234411"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"masterThesis"},{"id":"mag:2186995649","doi":null,"is_oa":false,"landing_page_url":"https://acikerisim.isikun.edu.tr/xmlui/handle/11729/891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:acikerisim.isikun.edu.tr:11729/891","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11729/891","pdf_url":"https://hdl.handle.net/11729/891","source":{"id":"https://openalex.org/S4306401174","display_name":"Akademik A\u00e7\u0131k Eri\u015fim (I\u015f\u0131k \u00dcniversitesi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I167234411","host_organization_name":"I\u015f\u0131k University","host_organization_lineage":["https://openalex.org/I167234411"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Doctoral Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2186995649.pdf","grobid_xml":"https://content.openalex.org/works/W2186995649.grobid-xml"},"referenced_works_count":100,"referenced_works":["https://openalex.org/W14024862","https://openalex.org/W51902869","https://openalex.org/W76990466","https://openalex.org/W86253022","https://openalex.org/W92982807","https://openalex.org/W122154057","https://openalex.org/W150336312","https://openalex.org/W163932295","https://openalex.org/W168970045","https://openalex.org/W595692241","https://openalex.org/W1507777432","https://openalex.org/W1510073064","https://openalex.org/W1535369746","https://openalex.org/W1554055400","https://openalex.org/W1565746575","https://openalex.org/W1573396645","https://openalex.org/W1589844230","https://openalex.org/W1964062576","https://openalex.org/W1964962870","https://openalex.org/W1969646775","https://openalex.org/W1971585360","https://openalex.org/W1975040830","https://openalex.org/W1989141971","https://openalex.org/W1992074508","https://openalex.org/W1995945562","https://openalex.org/W1999500599","https://openalex.org/W2004546091","https://openalex.org/W2008906462","https://openalex.org/W2030857403","https://openalex.org/W2031217575","https://openalex.org/W2032530255","https://openalex.org/W2038214150","https://openalex.org/W2039707599","https://openalex.org/W2047345132","https://openalex.org/W2051518864","https://openalex.org/W2057780988","https://openalex.org/W2063065565","https://openalex.org/W2063473175","https://openalex.org/W2063876764","https://openalex.org/W2066459581","https://openalex.org/W2073649165","https://openalex.org/W2078619945","https://openalex.org/W2081025867","https://openalex.org/W2083363065","https://openalex.org/W2084684498","https://openalex.org/W2087064593","https://openalex.org/W2088432998","https://openalex.org/W2096837833","https://openalex.org/W2101728371","https://openalex.org/W2101832700","https://openalex.org/W2104802187","https://openalex.org/W2105776892","https://openalex.org/W2106423417","https://openalex.org/W2107294940","https://openalex.org/W2109943925","https://openalex.org/W2110122092","https://openalex.org/W2110762996","https://openalex.org/W2111295912","https://openalex.org/W2112658968","https://openalex.org/W2112975341","https://openalex.org/W2113224932","https://openalex.org/W2114191341","https://openalex.org/W2119016061","https://openalex.org/W2120232805","https://openalex.org/W2120484483","https://openalex.org/W2120738100","https://openalex.org/W2121412398","https://openalex.org/W2121866145","https://openalex.org/W2123127356","https://openalex.org/W2123279272","https://openalex.org/W2124797841","https://openalex.org/W2125976730","https://openalex.org/W2128666163","https://openalex.org/W2133575467","https://openalex.org/W2133990480","https://openalex.org/W2135250985","https://openalex.org/W2135409670","https://openalex.org/W2138661194","https://openalex.org/W2139855137","https://openalex.org/W2141051748","https://openalex.org/W2144177913","https://openalex.org/W2144869437","https://openalex.org/W2145091807","https://openalex.org/W2149684865","https://openalex.org/W2151554678","https://openalex.org/W2151636937","https://openalex.org/W2151666086","https://openalex.org/W2159747233","https://openalex.org/W2160037016","https://openalex.org/W2163279690","https://openalex.org/W2163590173","https://openalex.org/W2163840964","https://openalex.org/W2165043113","https://openalex.org/W2167363007","https://openalex.org/W2184938772","https://openalex.org/W2544961394","https://openalex.org/W2751318774","https://openalex.org/W2918048160","https://openalex.org/W3141989311","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W7097179995","https://openalex.org/W2127623179","https://openalex.org/W7098496257","https://openalex.org/W4379622792","https://openalex.org/W2257458935","https://openalex.org/W4378908757","https://openalex.org/W2792292","https://openalex.org/W7000354890","https://openalex.org/W7098880691","https://openalex.org/W3184739266"],"abstract_inverted_index":{"There":[0],"are":[1,38,164,186,209,288],"lots":[2],"of":[3,17,35,84,103,114,125,133,155,160,181,183,195,200,237,243,251,387,400,405,428,435,451,457,491,513,537,549,556],"different":[4],"software":[5,59,128,336,407,437,559],"metrics":[6,36,60,68,96,168],"discovered":[7],"and":[8,27,41,61,86,130,158,179,198,208,222,240,304,366,369,383,448,508,533,553],"used":[9,69,423],"for":[10,81,88,151,265,281],"defect":[11,62,122,191,266,275,376],"prediction":[12,267,276,377],"in":[13,70,308,334,385,430,511,558],"the":[14,33,55,67,82,89,99,104,112,120,126,131,165,217,235,241,274,285,298,309,318,322,331,335,360,363,374,388,391,398,403,412,416,426,431,449,455,460,489,502,505,514,554],"literature.":[15],"Instead":[16],"dealing":[18],"with":[19,352,362,373,418,494,504,526],"so":[20,290],"many":[21],"metrics,":[22,78],"it":[23],"would":[24],"be":[25,422],"practical":[26],"easy":[28],"if":[29],"we":[30,260,394,440],"could":[31],"determine":[32,54],"set":[34,132],"that":[37,149,228,268,347,396,486,541],"most":[39,134,166],"important":[40],"focus":[42,463],"on":[43,139,190,216,219,341,454,464,470,481],"them":[44],"more":[45,77,465],"to":[46,53,66,255,296,424],"predict":[47,425],"defectiveness.":[48,305],"We":[49,74,93,117,226,292],"use":[50,293],"Bayesian":[51],"modelling":[52],"influential":[56],"relationships":[57],"among":[58,402],"proneness.":[63,192],"In":[64],"addition":[65],"Promise":[71,106,143,483],"data":[72,107,109,144,146,224],"repository,":[73],"define":[75],"two":[76],"i.e.":[79],"NOD":[80],"number":[83,194,236,250,427,450,490,555],"developers":[85,238,461],"LOCQ":[87],"source":[90,100,142,301,445,542],"code":[91,101,156,302,446,543],"quality.":[92],"wxtract":[94],"these":[95,538],"by":[97,415],"inspecting":[98],"repositories":[102],"selected":[105],"repository":[108,145],"sets.":[110],"At":[111],"end":[113],"our":[115,257,458],"modeling,":[116],"learn":[118],"both":[119,551],"marginal":[121],"proneness":[123],"probability":[124],"whole":[127],"system":[129,337,408],"effective":[135],"metrics.":[136],"Our":[137,339],"experiments":[138,218,340,480,539],"nine":[140],"open":[141],"sets":[147],"show":[148],"respense":[150],"class":[152,177],"(RFC),":[153],"lines":[154],"(LOC),":[157],"lack":[159,180],"coding":[161],"quality":[162],"(LOCQ)":[163],"efective":[167,188],"whereas":[169],"coupling":[170],"between":[171,234,300,317,330,444],"objets":[172],"(CBO),":[173],"weighted":[174],"method":[175,521],"per":[176],"(WMC),":[178],"cohesion":[182],"methods":[184,378,529],"(LCOM)":[185],"less":[187,471],"metris":[189],"Furthermore,":[193,259],"children":[196],"(NOC)":[197],"depth":[199],"inheritance":[201],"tree":[202],"(DIT)":[203],"have":[204],"very":[205],"limited":[206],"effect":[207],"unstustworthy.":[210],"On":[211],"tthe":[212],"other":[213,527],"hand,":[214],"based":[215],"Poi,":[220],"Tomcat,":[221],"Xalan":[223],"sets,":[225],"observe":[227,441],"there":[229],"is":[230,253,409,523,545],"a":[231,248,262,282,353,406,436,442,495,546],"positive":[232],"correlation":[233],"(NOD)":[239],"level":[242],"defectiveness.However,":[244],"futher":[245],"investigation":[246],"involving":[247],"greater":[249],"projects,":[252],"need":[254],"confirm":[256],"findings.":[258],"propose":[261],"novel":[263],"technique":[264],"uses":[269],"plagiarism":[270],"detection":[271],"tools.":[272],"Although":[273],"problem":[277],"haz":[278],"been":[279],"researched":[280],"long":[283],"time,":[284],"results":[286,372,456,536],"achieved":[287],"not":[289],"bright.":[291],"kernel":[294,310,323,355,420,497],"programming":[295],"model":[297],"relationship":[299,443],"similarity":[303,401,447,544],"Each":[306],"value":[307],"matrix":[311,324,356],"shows":[312,325],"how":[313,326],"much":[314,327],"parallelism":[315,328],"exit":[316],"corresponding":[319,332],"files":[320,333,404,432],"ib":[321],"exist":[329],"chosen.":[338],"10":[342,482],"real":[343],"world":[344],"datasets":[345,484],"indicate":[346,485],"support":[348],"vector":[349],"machines":[350],"(SVM)":[351],"precalculated":[354],"performs":[357,498],"better":[358],"than":[359,469],"SVM":[361,417,493,503],"usual":[364,506],"linear":[365,380,507,531],"RBF":[367,509],"kernels":[368],"generates":[370],"comparable":[371,525],"famous":[375],"like":[379,530],"logistic":[381],"regression":[382,528,532],"J48":[384],"terms":[386,512],"area":[389],"under":[390],"curve":[392],"(AUC).Furthermore,":[393],"observed":[395],"when":[397],"amount":[399],"high,":[410],"then":[411],"AUC":[413],"found":[414],"precomputed":[419,496],"can":[421,462],"defects":[429,557],"or":[433,472],"classes":[434],"system,":[438],"because":[439],"defects.":[452],"Based":[453],"analysis,":[459],"defective":[466,474],"modules":[467],"rather":[468],"non":[473],"ones":[475],"during":[476],"testing":[477],"activities.":[478],"The":[479,520,535],"while":[487],"predicting":[488,550],"defects,":[492],"as":[499,501],"good":[500,547],"kernels,":[510],"root":[515],"mean":[516],"square":[517],"error":[518],"(RMSE).":[519],"proposed":[522],"also":[524],"IBK.":[534],"suggest":[540],"means":[548],"defectiveness":[552],"modules.":[560]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2016-06-24T00:00:00"}
