{"id":"https://openalex.org/W4229012091","doi":"https://doi.org/10.1145/3477314.3507063","title":"Feature assortment for deep learning-based bug localization with a program graph","display_name":"Feature assortment for deep learning-based bug localization with a program graph","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4229012091","doi":"https://doi.org/10.1145/3477314.3507063"},"language":"en","primary_location":{"id":"doi:10.1145/3477314.3507063","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477314.3507063","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/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":true,"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":"middle","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":false,"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":"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/A5046336588"],"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":0.05017401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1536","last_page":"1544"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.996999979019165,"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":0.9952999949455261,"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":0.7775506973266602},{"id":"https://openalex.org/keywords/java","display_name":"Java","score":0.7141152620315552},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.688440203666687},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5951575636863708},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5593466758728027},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5043147802352905},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.48526355624198914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47786563634872437},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4652116596698761},{"id":"https://openalex.org/keywords/software-bug","display_name":"Software bug","score":0.46458959579467773},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44348016381263733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35635852813720703},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28340843319892883},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.22363129258155823},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08165857195854187}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7775506973266602},{"id":"https://openalex.org/C548217200","wikidata":"https://www.wikidata.org/wiki/Q251","display_name":"Java","level":2,"score":0.7141152620315552},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.688440203666687},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5951575636863708},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5593466758728027},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5043147802352905},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.48526355624198914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47786563634872437},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4652116596698761},{"id":"https://openalex.org/C1009929","wikidata":"https://www.wikidata.org/wiki/Q179550","display_name":"Software bug","level":3,"score":0.46458959579467773},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44348016381263733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35635852813720703},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28340843319892883},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.22363129258155823},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08165857195854187},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477314.3507063","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477314.3507063","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":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"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":23,"referenced_works":["https://openalex.org/W1517808374","https://openalex.org/W1967031561","https://openalex.org/W1980767556","https://openalex.org/W1985947101","https://openalex.org/W2156225952","https://openalex.org/W2250539671","https://openalex.org/W2767440208","https://openalex.org/W2791527767","https://openalex.org/W2792770187","https://openalex.org/W2793836045","https://openalex.org/W2832556032","https://openalex.org/W2887255581","https://openalex.org/W2949266019","https://openalex.org/W2969229669","https://openalex.org/W2972535098","https://openalex.org/W2998026230","https://openalex.org/W2998678080","https://openalex.org/W3009877154","https://openalex.org/W3038598309","https://openalex.org/W3092246775","https://openalex.org/W3106643019","https://openalex.org/W4251372957","https://openalex.org/W6949974626"],"related_works":["https://openalex.org/W2970530566","https://openalex.org/W2967478618","https://openalex.org/W2997152889","https://openalex.org/W4385572700","https://openalex.org/W4307309205","https://openalex.org/W4288261899","https://openalex.org/W4385009901","https://openalex.org/W2001919569","https://openalex.org/W2825254172","https://openalex.org/W3014289436"],"abstract_inverted_index":{"Bug":[0],"localization":[1,12,257],"can":[2,42,62,92,109,117,254],"effectively":[3],"reduce":[4],"software":[5],"maintenance":[6],"costs.":[7],"Recently,":[8],"deep":[9],"learning-based":[10],"bug":[11,24,181,256],"(DLBL)":[13],"has":[14],"demonstrated":[15],"its":[16],"effectiveness":[17,246],"in":[18,173],"bridging":[19],"the":[20,37,46,53,59,77,111,119,128,141,145,157,160,180,186,190,195,203,208,214,218,245,248],"lexical":[21],"gaps":[22],"between":[23,121],"reports":[25],"(BRs)":[26],"and":[27,73,123,134],"source":[28],"code":[29],"files":[30],"(SFs).":[31],"Deliberate":[32],"feature":[33,205,210],"selection":[34],"that":[35,61,91,108,174],"considers":[36],"unique":[38],"characteristics":[39,130],"of":[40,49,81,131,137,144,159,194,217,247,262],"SFs":[41,82,125,161],"boost":[43],"DLBL.":[44],"Using":[45],"various":[47],"features":[48,60,158,188,216],"SFs,":[50],"we":[51,98,200],"propose":[52,99,201],"following":[54],"three":[55],"methods":[56],"to":[57,85,103,179,212],"identify":[58],"improve":[63,255],"DLBL":[64],"1)":[65],"text":[66,78,89],"token":[67,79,90],"restriction,":[68],"2)":[69],"program":[70,106,115,143],"graph":[71,107,116],"construction,":[72],"3)":[74],"projection.":[75],"First,":[76],"information":[80],"is":[83],"used":[84,230],"avoid":[86],"selecting":[87],"a":[88,94,100,105,148,171,183],"become":[93],"noise":[95],"feature.":[96],"Second,":[97],"five":[101],"rules":[102],"construct":[104],"supplement":[110],"textual":[112],"features.":[113],"Our":[114],"highlight":[118,213],"difference":[120],"buggy":[122],"non-buggy":[124],"while":[126],"preserving":[127],"individual":[129],"each":[132],"SF":[133,191,204,219],"interleaved":[135],"relationships":[136],"SFs.":[138,154],"We":[139,223],"treat":[140],"entire":[142],"project":[146],"as":[147,182],"knowledge":[149],"graph,":[150],"whose":[151],"subgraphs":[152],"are":[153,162],"Even":[155],"if":[156],"presented":[163],"well":[164],"by":[165,259],"existing":[166],"approaches,":[167],"these":[168],"approaches":[169],"have":[170],"limitation":[172],"they":[175],"choose":[176],"parts":[177],"irrelevant":[178],"feature,":[184],"because":[185],"same":[187],"represent":[189],"for":[192,220],"all":[193],"different":[196,221],"input":[197],"BRs.":[198,222],"Therefore,":[199],"projecting":[202],"vectors":[206,211],"onto":[207],"BR":[209],"BR-relative":[215],"evaluated":[224],"our":[225],"proposed":[226,249,252],"method":[227,253],"on":[228,237],"widely":[229],"open-source":[231],"Java":[232,242],"projects.":[233],"The":[234,251],"experimental":[235],"results":[236],"1,928":[238],"BRs":[239],"from":[240],"10":[241],"projects":[243],"showed":[244],"method.":[250],"accuracy":[258],"an":[260],"average":[261],"34%.":[263]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}