{"id":"https://openalex.org/W2126526490","doi":"https://doi.org/10.1142/s0218194014500053","title":"A Comparative Study of Bug Classification Algorithms","display_name":"A Comparative Study of Bug Classification Algorithms","publication_year":2014,"publication_date":"2014-02-01","ids":{"openalex":"https://openalex.org/W2126526490","doi":"https://doi.org/10.1142/s0218194014500053","mag":"2126526490"},"language":"en","primary_location":{"id":"doi:10.1142/s0218194014500053","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218194014500053","pdf_url":null,"source":{"id":"https://openalex.org/S131442419","display_name":"International Journal of Software Engineering and Knowledge Engineering","issn_l":"0218-1940","issn":["0218-1940","1793-6403"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Engineering and Knowledge Engineering","raw_type":"journal-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/A5007549080","display_name":"Naresh Kumar Nagwani","orcid":"https://orcid.org/0000-0001-5306-5818"},"institutions":[{"id":"https://openalex.org/I38335241","display_name":"National Institute of Technology Raipur","ror":"https://ror.org/02y553197","country_code":"IN","type":"education","lineage":["https://openalex.org/I38335241"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Naresh Kumar Nagwani","raw_affiliation_strings":["Department of Computer Science &amp; Engineering, National Institute of Technology Raipur, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science &amp; Engineering, National Institute of Technology Raipur, India","institution_ids":["https://openalex.org/I38335241"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102008694","display_name":"Shrish Verma","orcid":"https://orcid.org/0000-0002-1294-7897"},"institutions":[{"id":"https://openalex.org/I38335241","display_name":"National Institute of Technology Raipur","ror":"https://ror.org/02y553197","country_code":"IN","type":"education","lineage":["https://openalex.org/I38335241"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shrish Verma","raw_affiliation_strings":["Department of Electronics &amp; Telecommunication Engineering, National Institute of Technology Raipur, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics &amp; Telecommunication Engineering, National Institute of Technology Raipur, India","institution_ids":["https://openalex.org/I38335241"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007549080"],"corresponding_institution_ids":["https://openalex.org/I38335241"],"apc_list":null,"apc_paid":null,"fwci":4.7335,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.95105288,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"24","issue":"01","first_page":"111","last_page":"138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9984999895095825,"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":0.9984999895095825,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9947999715805054,"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"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7120832204818726},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5891956686973572},{"id":"https://openalex.org/keywords/software-bug","display_name":"Software bug","score":0.5473920106887817},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5398606061935425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5298449993133545},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.5164895057678223},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5135038495063782},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.46993502974510193},{"id":"https://openalex.org/keywords/c4.5-algorithm","display_name":"C4.5 algorithm","score":0.4417917728424072},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.43433547019958496},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4275253415107727},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.4101994037628174},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3880637288093567},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3538689911365509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7120832204818726},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5891956686973572},{"id":"https://openalex.org/C1009929","wikidata":"https://www.wikidata.org/wiki/Q179550","display_name":"Software bug","level":3,"score":0.5473920106887817},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5398606061935425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5298449993133545},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.5164895057678223},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5135038495063782},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.46993502974510193},{"id":"https://openalex.org/C52003472","wikidata":"https://www.wikidata.org/wiki/Q1022655","display_name":"C4.5 algorithm","level":4,"score":0.4417917728424072},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.43433547019958496},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4275253415107727},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.4101994037628174},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3880637288093567},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3538689911365509},{"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:10.1142/s0218194014500053","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218194014500053","pdf_url":null,"source":{"id":"https://openalex.org/S131442419","display_name":"International Journal of Software Engineering and Knowledge Engineering","issn_l":"0218-1940","issn":["0218-1940","1793-6403"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Engineering and Knowledge Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1500229457","https://openalex.org/W1598333443","https://openalex.org/W2024046085","https://openalex.org/W2111072639","https://openalex.org/W2112865076","https://openalex.org/W2114048520","https://openalex.org/W2152761983","https://openalex.org/W2156909104","https://openalex.org/W4244952642","https://openalex.org/W4288079856"],"related_works":["https://openalex.org/W4214653893","https://openalex.org/W2149097950","https://openalex.org/W2505282017","https://openalex.org/W3102090019","https://openalex.org/W4390338302","https://openalex.org/W3124731355","https://openalex.org/W3036853918","https://openalex.org/W3211372245","https://openalex.org/W2997511728","https://openalex.org/W2995276271"],"abstract_inverted_index":{"The":[0,17,71,80,92,108,129],"performance":[1,120],"of":[2,89,94,115,117,121,125],"ten":[3],"classic":[4],"algorithms":[5,18,56],"to":[6],"classify":[7],"the":[8,21,90,113],"software":[9,95],"bugs":[10],"for":[11,87],"different":[12],"bug":[13,63,96,105],"repositories":[14,64],"are":[15,23,57,85,131],"compared.":[16],"included":[19],"in":[20,123,133],"study":[22,110],"Na\u00efve":[24,26,31],"Bayes,":[25],"Bayes":[27,32],"Multinomial,":[28],"Discriminative":[29],"Multinomial":[30],"(DMNB),":[33],"J48,":[34],"Support":[35],"Vector":[36],"Machine,":[37],"Radial":[38],"Basis":[39],"Function":[40],"(RBF)":[41],"Neural":[42],"Network,":[43],"Classification":[44,47],"using":[45,48,75],"Clustering,":[46],"Regression,":[49],"Adaptive":[50],"Boosting":[51],"(AdaBoost)":[52],"and":[53,69,82,127,135],"Bagging.":[54],"These":[55],"applied":[58],"on":[59],"four":[60],"open":[61],"source":[62],"namely":[65],"Android,":[66],"JBoss-Seam,":[67],"Mozilla":[68],"MySql.":[70],"classification":[72],"is":[73,99],"evaluated":[74],"10-fold":[76],"cross":[77],"validation":[78],"technique.":[79],"accuracy":[81,126],"F-measure":[83],"parameters":[84],"compared":[86],"all":[88],"algorithms.":[91],"concept":[93],"taxonomy":[97],"hierarchy":[98],"also":[100,111],"introduced":[101],"with":[102],"eleven":[103],"standard":[104],"categories":[106,118],"(classes).":[107],"comparative":[109],"covers":[112],"effect":[114],"number":[116],"over":[119],"classifiers":[122],"terms":[124],"F-measure.":[128],"results":[130],"produced":[132],"tabular":[134],"graphical":[136],"forms.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
