{"id":"https://openalex.org/W4229028584","doi":"https://doi.org/10.1145/3477314.3507034","title":"How does the first buggy file work well for iterative IR-based bug localization?","display_name":"How does the first buggy file work well for iterative IR-based bug localization?","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4229028584","doi":"https://doi.org/10.1145/3477314.3507034"},"language":"en","primary_location":{"id":"doi:10.1145/3477314.3507034","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477314.3507034","pdf_url":null,"source":{"id":"https://openalex.org/S4363608665","display_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","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/A5050582340","display_name":"Misoo Kim","orcid":"https://orcid.org/0000-0002-8274-5457"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Misoo Kim","raw_affiliation_strings":["Sungkyunkwan University, Suwon, Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046336588","display_name":"Youngkyoung Kim","orcid":"https://orcid.org/0000-0001-5457-7997"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngkyoung Kim","raw_affiliation_strings":["Sungkyunkwan University, Suwon, Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015550942","display_name":"Eunseok Lee","orcid":"https://orcid.org/0000-0002-6557-8087"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eunseok Lee","raw_affiliation_strings":["Sungkyunkwan University, Suwon, Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050582340"],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05089907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1509","last_page":"1516"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9876999855041504,"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":0.8888967633247375},{"id":"https://openalex.org/keywords/debugging","display_name":"Debugging","score":0.7778967022895813},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7011638283729553},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.592759370803833},{"id":"https://openalex.org/keywords/iterative-and-incremental-development","display_name":"Iterative and incremental development","score":0.5291016101837158},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4836536645889282},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.45140138268470764},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4227927327156067},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.27600419521331787},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24010562896728516},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.17698907852172852}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8888967633247375},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.7778967022895813},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7011638283729553},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.592759370803833},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.5291016101837158},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4836536645889282},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.45140138268470764},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4227927327156067},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.27600419521331787},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24010562896728516},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.17698907852172852}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477314.3507034","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477314.3507034","pdf_url":null,"source":{"id":"https://openalex.org/S4363608665","display_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G3021995491","display_name":null,"funder_award_id":"2019R1A2C2006411, 2021R1A6A3A01086997","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1670217665","https://openalex.org/W1985947101","https://openalex.org/W2013808584","https://openalex.org/W2040577374","https://openalex.org/W2049238280","https://openalex.org/W2052664696","https://openalex.org/W2114900318","https://openalex.org/W2131346202","https://openalex.org/W2164577291","https://openalex.org/W2208430658","https://openalex.org/W2327680052","https://openalex.org/W2336438358","https://openalex.org/W2467903332","https://openalex.org/W2515360277","https://openalex.org/W2554979658","https://openalex.org/W2808756785","https://openalex.org/W2832556032","https://openalex.org/W2886117034","https://openalex.org/W2943763663","https://openalex.org/W3014289436","https://openalex.org/W3138897664","https://openalex.org/W3149255455"],"related_works":["https://openalex.org/W4321442002","https://openalex.org/W2015265939","https://openalex.org/W2284072287","https://openalex.org/W2611067230","https://openalex.org/W2480201319","https://openalex.org/W2387706296","https://openalex.org/W2155788121","https://openalex.org/W4235469518","https://openalex.org/W2294325978","https://openalex.org/W2890345561"],"abstract_inverted_index":{"Information-retrieval-based":[0],"bug":[1,13,135,157],"localization":[2],"(IRBL)":[3],"generates":[4],"a":[5,130,140],"ranked":[6,42,47,60,79],"list":[7,20,43,48,61,80],"of":[8,89,201],"source":[9],"files":[10],"by":[11,33,73],"using":[12,145,155],"reports":[14,158],"as":[15,44],"queries":[16],"and":[17,182,191],"provides":[18],"the":[19,36,40,45,55,59,70,74,78,87,125,134,146,174,184,189,199,209],"to":[21,23,180,212],"developers":[22],"reduce":[24,208],"debugging":[25],"costs.":[26],"The":[27],"IRBL":[28,67,90,103,144,153,203],"performance":[29],"is":[30,81,114,122,129],"typically":[31],"evaluated":[32],"batch":[34],"because":[35],"evaluation":[37,68,104,196],"process":[38,52,105,197],"considers":[39,107],"first":[41,126,147],"final":[46,192],"for":[49,92,143],"developers.":[50],"This":[51],"assumes":[53],"that":[54,106,124,169,205],"developer":[56,75,112],"only":[57],"examines":[58],"once.":[62],"However,":[63],"in":[64,96,186],"this":[65,84,118],"conventional":[66],"process,":[69],"knowledge":[71,85,108],"acquired":[72],"through":[76],"examining":[77],"omitted.":[82],"Disregarding":[83],"limits":[86],"development":[88,200],"techniques":[91],"effectively":[93,207],"reducing":[94],"effort":[95,185,210],"identifying":[97],"all":[98,214],"buggy":[99,127,148,193,215],"files.":[100,194,216],"An":[101],"iterative":[102,119],"acquisition":[109],"based":[110],"on":[111],"feedback":[113],"proposed":[115],"herein.":[116],"In":[117],"IRBL,":[120],"it":[121],"discovered":[123],"file":[128],"better-quality":[131],"query":[132],"than":[133],"report.":[136],"Hence,":[137],"we":[138,167],"propose":[139],"boosting":[141,171],"method":[142,172,204],"file.":[149],"We":[150],"analyze":[151],"five":[152],"methods":[154],"5,290":[156],"obtained":[159],"from":[160,178],"156":[161],"projects.":[162],"By":[163],"performing":[164],"large-scale":[165],"experiments,":[166],"demonstrate":[168],"our":[170],"improves":[173],"mean":[175],"average":[176],"precision":[177],"6%":[179],"17%":[181],"reduces":[183],"localizing":[187],"both":[188],"second":[190],"Our":[195],"facilitates":[198],"an":[202],"can":[206],"required":[211],"locate":[213]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}