{"id":"https://openalex.org/W4389158525","doi":"https://doi.org/10.1145/3611643.3616345","title":"Dynamic Data Fault Localization for Deep Neural Networks","display_name":"Dynamic Data Fault Localization for Deep Neural Networks","publication_year":2023,"publication_date":"2023-11-30","ids":{"openalex":"https://openalex.org/W4389158525","doi":"https://doi.org/10.1145/3611643.3616345"},"language":"en","primary_location":{"id":"doi:10.1145/3611643.3616345","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3611643.3616345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering","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/A5057680987","display_name":"Yining Yin","orcid":"https://orcid.org/0009-0001-1574-2758"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yining Yin","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043981758","display_name":"Yang Feng","orcid":"https://orcid.org/0000-0002-7477-3642"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Feng","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073058565","display_name":"Shihao Weng","orcid":"https://orcid.org/0009-0004-8817-8723"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihao Weng","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101410200","display_name":"Zixi Liu","orcid":"https://orcid.org/0000-0002-3271-7255"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixi Liu","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068643894","display_name":"Yuan Yao","orcid":"https://orcid.org/0000-0002-6913-6542"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yao","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103286636","display_name":"Yichi Zhang","orcid":"https://orcid.org/0009-0006-6536-0885"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichi Zhang","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046549364","display_name":"Zhihong Zhao","orcid":"https://orcid.org/0009-0002-4629-6372"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihong Zhao","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100422935","display_name":"Zhenyu Chen","orcid":"https://orcid.org/0000-0002-9592-7022"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Chen","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5057680987"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":1.5844,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86928245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1345","last_page":"1357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973999857902527,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973999857902527,"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":0.9973000288009644,"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":0.9972000122070312,"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":0.8054625988006592},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7452707290649414},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.5925724506378174},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5682541131973267},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5665687322616577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5534555315971375},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4981870651245117},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4901174008846283},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4891048073768616},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.458456426858902},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.44703757762908936},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4270167946815491},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3543405830860138}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8054625988006592},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7452707290649414},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5925724506378174},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5682541131973267},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5665687322616577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5534555315971375},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4981870651245117},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4901174008846283},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4891048073768616},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.458456426858902},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.44703757762908936},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4270167946815491},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3543405830860138},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3611643.3616345","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3611643.3616345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1100817172","display_name":null,"funder_award_id":"619320","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3196640441","display_name":null,"funder_award_id":"61932012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8513333314","display_name":null,"funder_award_id":"2021ZD01","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1516184288","https://openalex.org/W1569098853","https://openalex.org/W1861492603","https://openalex.org/W1896424170","https://openalex.org/W1950030762","https://openalex.org/W1969463951","https://openalex.org/W1990785546","https://openalex.org/W2033644368","https://openalex.org/W2037855648","https://openalex.org/W2098865355","https://openalex.org/W2104357911","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2150066425","https://openalex.org/W2167460663","https://openalex.org/W2172154252","https://openalex.org/W2194775991","https://openalex.org/W2343875716","https://openalex.org/W2465098971","https://openalex.org/W2513140567","https://openalex.org/W2560674852","https://openalex.org/W2616028256","https://openalex.org/W2620081107","https://openalex.org/W2731935965","https://openalex.org/W2762786131","https://openalex.org/W2784560833","https://openalex.org/W2804337238","https://openalex.org/W2912440308","https://openalex.org/W2954903132","https://openalex.org/W2963327228","https://openalex.org/W2981952612","https://openalex.org/W3042609801","https://openalex.org/W3042703469","https://openalex.org/W3090643686","https://openalex.org/W3102015031","https://openalex.org/W3104663419","https://openalex.org/W3120991880","https://openalex.org/W3124058431","https://openalex.org/W3134796670","https://openalex.org/W3156669901","https://openalex.org/W3161493619","https://openalex.org/W3164988820","https://openalex.org/W3178517081","https://openalex.org/W4221153123","https://openalex.org/W4224249875","https://openalex.org/W4243962542","https://openalex.org/W4284686707","https://openalex.org/W4284687826","https://openalex.org/W4367016885","https://openalex.org/W4384347367","https://openalex.org/W6809846724","https://openalex.org/W6931684181"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W2413243053","https://openalex.org/W410723623","https://openalex.org/W2015341305","https://openalex.org/W2035068594","https://openalex.org/W4225593417","https://openalex.org/W2573498121","https://openalex.org/W3022298670","https://openalex.org/W3160494304","https://openalex.org/W3008584592"],"abstract_inverted_index":{"Rich":[0],"datasets":[1,22],"have":[2],"empowered":[3],"various":[4,169],"deep":[5,64],"learning":[6,65],"(DL)":[7],"applications,":[8],"leading":[9],"to":[10,55,84,152],"remarkable":[11],"success":[12],"in":[13,20,25,42,62,195,209],"many":[14],"fields.":[15],"However,":[16],"data":[17,49,61,90,125,128,136,143,154,172,207],"faults":[18,155,208],"hidden":[19],"the":[21,57,63,71,79,88,101,120,123,133,141,150,192],"could":[23],"result":[24],"DL":[26],"applications":[27],"behaving":[28],"unpredictably":[29],"and":[30,35,59,86,112,148,174,199],"even":[31],"cause":[32],"massive":[33],"monetary":[34],"life":[36],"losses.":[37],"To":[38,158],"alleviate":[39],"this":[40,43],"problem,":[41],"paper,":[44],"we":[45,161],"propose":[46],"a":[47,116,127],"dynamic":[48,135],"fault":[50,75,137,170],"localization":[51,138],"approach,":[52],"namely":[53],"DFauLo,":[54,160],"locate":[56],"mislabeled":[58],"noisy":[60],"datasets.":[66,185,211],"DFauLo":[67,131,180,190],"is":[68,132],"inspired":[69],"by":[70],"conventional":[72],"mutation-based":[73],"code":[74],"localization,":[76],"but":[77],"utilizes":[78],"differences":[80],"between":[81],"DNN":[82,97],"mutants":[83,99,111],"amplify":[85],"identify":[87],"potential":[89],"faults.":[91],"Specifically,":[92],"it":[93,106,164],"first":[94,134],"generates":[95],"multiple":[96],"model":[98,175],"of":[100,122,202,205],"original":[102],"trained":[103],"model.":[104],"Then":[105],"extracts":[107],"features":[108],"from":[109],"these":[110],"maps":[113],"them":[114],"into":[115],"suspiciousness":[117],"score":[118],"indicating":[119],"probability":[121],"given":[124],"being":[126],"fault.":[129],"Moreover,":[130],"technique,":[139],"prioritizing":[140],"suspected":[142],"based":[144],"on":[145,165,181],"user":[146],"feedback,":[147],"providing":[149],"generalizability":[151],"unseen":[153],"during":[156],"training.":[157],"validate":[159],"extensively":[162],"evaluate":[163,179],"26":[166],"cases":[167,198],"with":[168],"types,":[171,173],"structures.":[176],"We":[177],"also":[178],"three":[182],"widely-used":[183],"benchmark":[184,210],"The":[186],"results":[187],"show":[188],"that":[189],"outperforms":[191],"state-of-the-art":[193],"techniques":[194],"almost":[196],"all":[197],"locates":[200],"hundreds":[201],"different":[203],"types":[204],"real":[206]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
