{"id":"https://openalex.org/W2993971565","doi":"https://doi.org/10.1109/kse.2019.8919429","title":"Experimental Study on Software Fault Prediction Using Machine Learning Model","display_name":"Experimental Study on Software Fault Prediction Using Machine Learning Model","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2993971565","doi":"https://doi.org/10.1109/kse.2019.8919429","mag":"2993971565"},"language":"en","primary_location":{"id":"doi:10.1109/kse.2019.8919429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse.2019.8919429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Conference on Knowledge and Systems Engineering (KSE)","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/A5006144501","display_name":"Th\u1ecb Minh Ph\u01b0\u01a1ng H\u00e0","orcid":null},"institutions":[{"id":"https://openalex.org/I3129492623","display_name":"University of Da Nang","ror":"https://ror.org/03ecpp171","country_code":"VN","type":"education","lineage":["https://openalex.org/I3129492623"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Thi Minh Phuong Ha","raw_affiliation_strings":["School of Information and Communication Technology, The University of Danang, Danang, Viet Nam"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, The University of Danang, Danang, Viet Nam","institution_ids":["https://openalex.org/I3129492623"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110654392","display_name":"Duy Hung Tran","orcid":null},"institutions":[{"id":"https://openalex.org/I3129492623","display_name":"University of Da Nang","ror":"https://ror.org/03ecpp171","country_code":"VN","type":"education","lineage":["https://openalex.org/I3129492623"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Duy Hung Tran","raw_affiliation_strings":["School of Information and Communication Technology, The University of Danang, Danang, Viet Nam"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, The University of Danang, Danang, Viet Nam","institution_ids":["https://openalex.org/I3129492623"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050165534","display_name":"Le Thi My Hanh","orcid":"https://orcid.org/0000-0001-6982-7848"},"institutions":[{"id":"https://openalex.org/I3129492623","display_name":"University of Da Nang","ror":"https://ror.org/03ecpp171","country_code":"VN","type":"education","lineage":["https://openalex.org/I3129492623"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"LE Thi My Hanh","raw_affiliation_strings":["Information Technology Faculty, The University of Danang \u2013 University of Science and Technology, Danang, Vietnam"],"affiliations":[{"raw_affiliation_string":"Information Technology Faculty, The University of Danang \u2013 University of Science and Technology, Danang, Vietnam","institution_ids":["https://openalex.org/I3129492623"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635560","display_name":"Nguy\u1ec5n Thanh B\u00ecnh","orcid":"https://orcid.org/0000-0003-0136-874X"},"institutions":[{"id":"https://openalex.org/I3129492623","display_name":"University of Da Nang","ror":"https://ror.org/03ecpp171","country_code":"VN","type":"education","lineage":["https://openalex.org/I3129492623"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nguyen Thanh Binh","raw_affiliation_strings":["Information Technology Faculty, The University of Danang \u2013 University of Science and Technology, Danang, Vietnam"],"affiliations":[{"raw_affiliation_string":"Information Technology Faculty, The University of Danang \u2013 University of Science and Technology, Danang, Vietnam","institution_ids":["https://openalex.org/I3129492623"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006144501"],"corresponding_institution_ids":["https://openalex.org/I3129492623"],"apc_list":null,"apc_paid":null,"fwci":1.6958,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88794851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9990000128746033,"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":0.9980000257492065,"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/machine-learning","display_name":"Machine learning","score":0.8054535388946533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7437860369682312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6663589477539062},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6440703272819519},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.618378758430481},{"id":"https://openalex.org/keywords/software-quality","display_name":"Software quality","score":0.5710498094558716},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5460801124572754},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5146799683570862},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4931163489818573},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.475710928440094},{"id":"https://openalex.org/keywords/software-metric","display_name":"Software metric","score":0.4528535008430481},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4361913800239563},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4160587191581726},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.35873955488204956},{"id":"https://openalex.org/keywords/software-development","display_name":"Software development","score":0.3537514805793762}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.8054535388946533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7437860369682312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6663589477539062},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6440703272819519},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.618378758430481},{"id":"https://openalex.org/C117447612","wikidata":"https://www.wikidata.org/wiki/Q1412670","display_name":"Software quality","level":4,"score":0.5710498094558716},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5460801124572754},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5146799683570862},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4931163489818573},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.475710928440094},{"id":"https://openalex.org/C82214349","wikidata":"https://www.wikidata.org/wiki/Q657339","display_name":"Software metric","level":5,"score":0.4528535008430481},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4361913800239563},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4160587191581726},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35873955488204956},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.3537514805793762},{"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:10.1109/kse.2019.8919429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse.2019.8919429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Conference on Knowledge and Systems Engineering (KSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W168970045","https://openalex.org/W1554055400","https://openalex.org/W1873332500","https://openalex.org/W1964062576","https://openalex.org/W1980851144","https://openalex.org/W2007347131","https://openalex.org/W2012319196","https://openalex.org/W2017439596","https://openalex.org/W2024650695","https://openalex.org/W2038214150","https://openalex.org/W2051055546","https://openalex.org/W2104093490","https://openalex.org/W2105776892","https://openalex.org/W2106615747","https://openalex.org/W2120738100","https://openalex.org/W2127623179","https://openalex.org/W2135250985","https://openalex.org/W2143637886","https://openalex.org/W2147169507","https://openalex.org/W2158864412","https://openalex.org/W2160958420","https://openalex.org/W2170654002","https://openalex.org/W2187291489","https://openalex.org/W2301363727","https://openalex.org/W2911964244","https://openalex.org/W3141989311","https://openalex.org/W4242907487","https://openalex.org/W4244238212","https://openalex.org/W4299689471","https://openalex.org/W6633076095","https://openalex.org/W6639175750","https://openalex.org/W7052736640"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2019891950","https://openalex.org/W2078744341","https://openalex.org/W2085842814","https://openalex.org/W2523437662","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456","https://openalex.org/W2766585573","https://openalex.org/W4387490624"],"abstract_inverted_index":{"Faults":[0],"are":[1,41,70],"the":[2,21,26,90],"leading":[3],"cause":[4],"of":[5,25,68,92],"time":[6],"consuming":[7],"and":[8,23,28,110,128,146],"cost":[9,31],"wasting":[10],"during":[11],"software":[12,33,39,45,58,114],"life":[13],"cycle.":[14],"Predicting":[15],"faults":[16],"in":[17,143,153],"early":[18],"stage":[19],"improves":[20],"quality":[22],"reliability":[24],"system":[27],"also":[29],"reduces":[30],"for":[32,44,57,72],"development.":[34],"Many":[35],"researches":[36],"proved":[37],"that":[38,135],"metrics":[40,69,115],"effective":[42,71],"elements":[43],"fault":[46,59,74],"prediction.":[47,60],"In":[48,80],"addition,":[49],"many":[50],"machine":[51,77],"learning":[52,78],"techniques":[53,95,158],"have":[54],"been":[55],"developed":[56],"It":[61],"is":[62,123],"important":[63],"to":[64,88],"determine":[65],"which":[66],"set":[67],"predicting":[73],"by":[75],"using":[76,113],"techniques.":[79],"this":[81],"paper,":[82],"we":[83],"conduct":[84],"an":[85],"experimental":[86,132],"study":[87],"evaluate":[89],"performance":[91,142],"seven":[93,157],"popular":[94],"including":[96],"Logistic":[97],"Regression,":[98],"K-nearest":[99],"Neighbors,":[100],"Decision":[101],"Tree,":[102],"Random":[103],"Forest,":[104],"Na\u00efve":[105],"Bayes,":[106],"Support":[107,136],"Vector":[108,137],"Machine":[109,138],"Multilayer":[111,147],"Perceptron":[112],"from":[116],"Promise":[117],"repository":[118],"dataset":[119],"usage.":[120],"Our":[121],"experiment":[122],"performed":[124],"on":[125],"both":[126],"method-level":[127,154],"class-level":[129,144],"datasets.":[130],"The":[131],"results":[133],"show":[134],"archives":[139],"a":[140,150],"higher":[141],"datasets":[145,155],"Perception":[148],"produces":[149],"better":[151],"accuracy":[152],"among":[156],"above.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
