{"id":"https://openalex.org/W3091633490","doi":"https://doi.org/10.1145/3377811.3380378","title":"Repairing deep neural networks","display_name":"Repairing deep neural networks","publication_year":2020,"publication_date":"2020-06-27","ids":{"openalex":"https://openalex.org/W3091633490","doi":"https://doi.org/10.1145/3377811.3380378","mag":"3091633490"},"language":"en","primary_location":{"id":"doi:10.1145/3377811.3380378","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3377811.3380378","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3377811.3380378","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3377811.3380378","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103119148","display_name":"Md Johirul Islam","orcid":"https://orcid.org/0000-0003-0034-9395"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Johirul Islam","raw_affiliation_strings":["Iowa State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iowa State University","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032491991","display_name":"Rangeet Pan","orcid":"https://orcid.org/0000-0002-8875-1225"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rangeet Pan","raw_affiliation_strings":["Iowa State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iowa State University","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020835758","display_name":"Giang V. Nguyen","orcid":"https://orcid.org/0000-0002-6226-5069"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Giang Nguyen","raw_affiliation_strings":["Iowa State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iowa State University","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059626072","display_name":"Hridesh Rajan","orcid":"https://orcid.org/0000-0002-9410-9562"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hridesh Rajan","raw_affiliation_strings":["Iowa State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iowa State University","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I173911158"],"apc_list":null,"apc_paid":null,"fwci":7.9332,"has_fulltext":true,"cited_by_count":103,"citation_normalized_percentile":{"value":0.98078085,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1135","last_page":"1146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9987000226974487,"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/T10260","display_name":"Software Engineering Research","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7376318573951721},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5616487264633179},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5600268244743347},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5551815629005432},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5089924335479736},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.49562203884124756},{"id":"https://openalex.org/keywords/software-bug","display_name":"Software bug","score":0.4621252715587616},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.44872209429740906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4111044108867645},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.39325645565986633},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09896647930145264}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7376318573951721},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5616487264633179},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5600268244743347},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5551815629005432},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5089924335479736},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.49562203884124756},{"id":"https://openalex.org/C1009929","wikidata":"https://www.wikidata.org/wiki/Q179550","display_name":"Software bug","level":3,"score":0.4621252715587616},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.44872209429740906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4111044108867645},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.39325645565986633},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09896647930145264},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377811.3380378","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3377811.3380378","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3377811.3380378","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3377811.3380378","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3377811.3380378","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3377811.3380378","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G3619435965","display_name":null,"funder_award_id":"1513263, 1934884","funder_id":"https://openalex.org/F4320309856","funder_display_name":"National Youth Science Foundation"},{"id":"https://openalex.org/G4058398719","display_name":null,"funder_award_id":"(CNS-15-13263)","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309856","display_name":"National Youth Science Foundation","ror":"https://ror.org/054yz2f06"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3091633490.pdf","grobid_xml":"https://content.openalex.org/works/W3091633490.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1444168786","https://openalex.org/W1987615754","https://openalex.org/W2037797835","https://openalex.org/W2072684419","https://openalex.org/W2084240154","https://openalex.org/W2087419855","https://openalex.org/W2095705004","https://openalex.org/W2101161997","https://openalex.org/W2129164226","https://openalex.org/W2146878883","https://openalex.org/W2149321161","https://openalex.org/W2149398387","https://openalex.org/W2151181659","https://openalex.org/W2154183829","https://openalex.org/W2156633971","https://openalex.org/W2158092986","https://openalex.org/W2187089797","https://openalex.org/W2306526421","https://openalex.org/W2594265094","https://openalex.org/W2620044036","https://openalex.org/W2774423163","https://openalex.org/W2776209623","https://openalex.org/W2783404025","https://openalex.org/W2789444109","https://openalex.org/W2850992922","https://openalex.org/W2883977877","https://openalex.org/W2895242880","https://openalex.org/W2903329274","https://openalex.org/W2947879531","https://openalex.org/W2949506549","https://openalex.org/W2954903132","https://openalex.org/W2955309381","https://openalex.org/W2963207607","https://openalex.org/W2963857521","https://openalex.org/W2963920068","https://openalex.org/W2968594320","https://openalex.org/W3005940936","https://openalex.org/W3023058184","https://openalex.org/W3091633490","https://openalex.org/W3099458900","https://openalex.org/W4235116814"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734","https://openalex.org/W3000197790","https://openalex.org/W4315865067","https://openalex.org/W4286530553","https://openalex.org/W2979433843","https://openalex.org/W3208304128","https://openalex.org/W2621101275"],"abstract_inverted_index":{"Significant":[0],"interest":[1],"in":[2,129],"applying":[3],"Deep":[4],"Neural":[5],"Network":[6],"(DNN)":[7],"has":[8],"fueled":[9],"the":[10,64,152,170],"need":[11,30],"to":[12,44,97,126,147,172],"support":[13],"engineering":[14],"of":[15,93,188,210],"software":[16,21],"that":[17,22,48,139],"uses":[18,23],"DNNs.":[19,54],"Repairing":[20],"DNNs":[24],"is":[25],"one":[26],"such":[27],"unmistakable":[28],"SE":[29],"where":[31],"automated":[32,58,83],"tools":[33,60],"could":[34,69],"be":[35,76],"beneficial;":[36],"however,":[37],"we":[38],"do":[39],"not":[40],"fully":[41],"understand":[42,127],"challenges":[43,56,128,198],"repairing":[45,53],"and":[46,109,124,131,162,183,191],"patterns":[47,66,74,96,143,157],"are":[49,63,144,158,196],"utilized":[50],"when":[51,202],"manually":[52],"What":[55,62],"should":[57,75],"repair":[59,65,73,85,133],"address?":[61],"whose":[67],"automation":[68],"help":[70],"developers?":[71],"Which":[72],"assigned":[77],"a":[78,90,208],"higher":[79],"priority":[80],"for":[81,114],"building":[82],"bug":[84,94,132,141,149,155,167,177,185],"tools?":[86],"This":[87],"work":[88],"presents":[89],"comprehensive":[91],"study":[92],"fix":[95,142,150,156],"address":[98],"these":[99],"questions.":[100],"We":[101,205],"have":[102,169],"studied":[103],"415":[104],"repairs":[105,111,130],"from":[106,112],"Stack":[107],"Overflow":[108],"555":[110],"GitHub":[113],"five":[115],"popular":[116],"deep":[117],"learning":[118],"libraries":[119],"Caffe,":[120],"Keras,":[121],"Tensorflow,":[122],"Theano,":[123],"Torch":[125],"patterns.":[134],"Our":[135],"key":[136],"findings":[137],"reveal":[138],"DNN":[140,166,176,184,212],"distinctive":[145],"compared":[146],"traditional":[148],"patterns;":[151],"most":[153],"common":[154],"fixing":[159,203],"data":[160],"dimension":[161],"neural":[163],"network":[164],"connectivity;":[165],"fixes":[168,178],"potential":[171],"introduce":[173,180],"adversarial":[174],"vulnerabilities;":[175],"frequently":[179],"new":[181],"bugs;":[182],"localization,":[186],"reuse":[187],"trained":[189],"model,":[190],"coping":[192],"with":[193],"frequent":[194],"releases":[195],"major":[197],"faced":[199],"by":[200],"developers":[201],"bugs.":[204],"also":[206],"contribute":[207],"benchmark":[209],"667":[211],"(bug,":[213],"repair)":[214],"instances.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":5}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
