{"id":"https://openalex.org/W2995201975","doi":"https://doi.org/10.1109/snpd.2019.8935839","title":"Prediction of Software Defects Using Automated Machine Learning","display_name":"Prediction of Software Defects Using Automated Machine Learning","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2995201975","doi":"https://doi.org/10.1109/snpd.2019.8935839","mag":"2995201975"},"language":"en","primary_location":{"id":"doi:10.1109/snpd.2019.8935839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd.2019.8935839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","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/A5110067532","display_name":"Kazuya Tanaka","orcid":"https://orcid.org/0009-0007-7207-5895"},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazuya Tanaka","raw_affiliation_strings":["Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan","institution_ids":["https://openalex.org/I163770644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078686662","display_name":"Akito Monden","orcid":"https://orcid.org/0000-0003-4295-207X"},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akito Monden","raw_affiliation_strings":["Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan","institution_ids":["https://openalex.org/I163770644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049012104","display_name":"Zeynep Y\u00fccel","orcid":"https://orcid.org/0000-0003-3404-4485"},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zeynep Yucel","raw_affiliation_strings":["Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan","institution_ids":["https://openalex.org/I163770644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110067532"],"corresponding_institution_ids":["https://openalex.org/I163770644"],"apc_list":null,"apc_paid":null,"fwci":1.7616,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.89247844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"490","last_page":"494"},"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.7803522348403931},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7392619848251343},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7168453931808472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6766841411590576},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6638953685760498},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5998440980911255},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5711255073547363},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5592771172523499},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5296278595924377},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5228967070579529},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5188947319984436},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4872833490371704},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4544350504875183},{"id":"https://openalex.org/keywords/software-bug","display_name":"Software bug","score":0.4535171091556549}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7803522348403931},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7392619848251343},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7168453931808472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6766841411590576},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6638953685760498},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5998440980911255},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5711255073547363},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5592771172523499},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5296278595924377},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5228967070579529},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5188947319984436},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4872833490371704},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4544350504875183},{"id":"https://openalex.org/C1009929","wikidata":"https://www.wikidata.org/wiki/Q179550","display_name":"Software bug","level":3,"score":0.4535171091556549},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/snpd.2019.8935839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd.2019.8935839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unive.it:10278/5080108","is_oa":false,"landing_page_url":"https://hdl.handle.net/10278/5080108","pdf_url":null,"source":{"id":"https://openalex.org/S4306402336","display_name":"ARCA (Universit\u00e0 Ca' Foscari Venezia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149461666","host_organization_name":"Ca' Foscari University of Venice","host_organization_lineage":["https://openalex.org/I149461666"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W168970045","https://openalex.org/W1980264541","https://openalex.org/W2001819708","https://openalex.org/W2051978688","https://openalex.org/W2062020999","https://openalex.org/W2105776892","https://openalex.org/W2132862423","https://openalex.org/W2182361439","https://openalex.org/W2279142839","https://openalex.org/W2407212869","https://openalex.org/W2519440759","https://openalex.org/W2737319015","https://openalex.org/W2799059048","https://openalex.org/W3042794100","https://openalex.org/W4245807786","https://openalex.org/W6685961532","https://openalex.org/W6726962172","https://openalex.org/W6750676154"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W4318719684","https://openalex.org/W4389724018","https://openalex.org/W2973769099","https://openalex.org/W2091498228","https://openalex.org/W3158675493","https://openalex.org/W3216967183","https://openalex.org/W2022585969"],"abstract_inverted_index":{"The":[0],"effectiveness":[1,66],"of":[2,67,73,85,126,152],"defect":[3,91,132,147],"prediction":[4,40,92,118,129,133,144,148],"depends":[5],"on":[6,23],"modeling":[7],"techniques":[8,46,155],"as":[9,11,108,120],"well":[10],"their":[12,54],"parameter":[13],"optimization,":[14],"data":[15,44,50],"preprocessing":[16,45],"and":[17,43,52,93,101,156],"ensemble":[18,55],"development.":[19],"This":[20,137],"paper":[21,61],"focuses":[22],"auto-sklearn,":[24],"which":[25,123],"is":[26,124],"a":[27,48,109,113],"recently-developed":[28],"software":[29,76,83],"library":[30],"for":[31,47,89,131,146],"automated":[32],"machine":[33,153],"learning,":[34],"that":[35,139],"can":[36,141],"automatically":[37],"select":[38],"appropriate":[39],"models,":[41],"hyperparameters":[42],"given":[49],"set":[51],"develop":[53],"with":[56,96],"optimized":[57],"weights.":[58],"In":[59,78],"this":[60],"we":[62,81],"empirically":[63],"evaluate":[64],"the":[65,71,79,127],"auto-sklearn":[68,95,115,140],"in":[69,75,134],"predicting":[70],"number":[72],"defects":[74],"modules.":[77],"experiment,":[80],"used":[82],"metrics":[84],"20":[86],"OSS":[87],"projects":[88],"cross-release":[90],"compared":[94],"random":[97,121],"forest,":[98,122],"decision":[99],"tree":[100],"linear":[102],"discriminant":[103],"analysis":[104],"by":[105],"using":[106],"Norm(Popt)":[107],"performance":[110,119,145],"measure.":[111],"As":[112],"result,":[114],"showed":[116],"similar":[117],"one":[125],"best":[128],"models":[130],"past":[135],"studies.":[136],"indicates":[138],"obtain":[142],"good":[143],"without":[149],"any":[150],"knowledge":[151],"learning":[154],"models.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}