{"id":"https://openalex.org/W4394708662","doi":"https://doi.org/10.48550/arxiv.2404.05520","title":"The Fact Selection Problem in LLM-Based Program Repair","display_name":"The Fact Selection Problem in LLM-Based Program Repair","publication_year":2024,"publication_date":"2024-04-08","ids":{"openalex":"https://openalex.org/W4394708662","doi":"https://doi.org/10.48550/arxiv.2404.05520"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2404.05520","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.05520","pdf_url":"https://arxiv.org/pdf/2404.05520","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2404.05520","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008208151","display_name":"Nikhil Parasaram","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Parasaram, Nikhil","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104278889","display_name":"Huijie Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan, Huijie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100544610","display_name":"Boyu Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Boyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095335080","display_name":"Zineb Flahy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Flahy, Zineb","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095335081","display_name":"Abriele Qudsi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qudsi, Abriele","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095335082","display_name":"Damian Ziaber","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ziaber, Damian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076587279","display_name":"Earl T. Barr","orcid":"https://orcid.org/0000-0003-0771-7891"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Barr, Earl","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5011184280","display_name":"Sergey Mechtaev","orcid":"https://orcid.org/0000-0001-6088-4993"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mechtaev, Sergey","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9372000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9372000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/selection","display_name":"Selection (genetic algorithm)","score":0.6715748906135559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4908497929573059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21986934542655945}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6715748906135559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4908497929573059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21986934542655945}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2404.05520","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.05520","pdf_url":"https://arxiv.org/pdf/2404.05520","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10214057","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10214057/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In: 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE). (pp. pp. 2574-2586). IEEE: Ottawa, ON, Canada. (2025)","raw_type":"Proceedings paper"},{"id":"doi:10.48550/arxiv.2404.05520","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2404.05520","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2404.05520","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.05520","pdf_url":"https://arxiv.org/pdf/2404.05520","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394708662.pdf","grobid_xml":"https://content.openalex.org/works/W4394708662.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829"],"abstract_inverted_index":{"Recent":[0],"research":[1],"has":[2],"shown":[3],"that":[4,91,126,144,199],"incorporating":[5],"bug-related":[6],"facts,":[7],"such":[8,112],"as":[9,113],"stack":[10],"traces":[11],"and":[12,39],"GitHub":[13],"issues,":[14],"into":[15],"prompts":[16,47,68,150],"enhances":[17],"the":[18,27,50,85,108,145,154,173,178,230,236,239,246,249,257,278],"bug-fixing":[19],"capabilities":[20],"of":[21,31,52,72,110,147,156,181,205,238,248,269],"large":[22],"language":[23],"models":[24],"(LLMs).":[25],"Considering":[26],"ever-increasing":[28],"context":[29,101,109],"window":[30],"these":[32],"models,":[33],"a":[34,62,135,186,193,213,224],"critical":[35],"question":[36],"arises:":[37],"what":[38],"how":[40],"many":[41,161],"facts":[42,75,162,182,206,221],"should":[43],"be":[44,132],"included":[45],"in":[46,107,122,185,229],"to":[48,76,102,164,171,188,223,227],"maximise":[49,189],"chance":[51],"correctly":[53],"fixing":[54,123],"bugs?":[55],"To":[56,244],"answer":[57],"this":[58],"question,":[59],"we":[60,142,211,253],"conducted":[61],"large-scale":[63],"study,":[64],"employing":[65],"over":[66,153],"19K":[67],"featuring":[69],"various":[70],"combinations":[71],"seven":[73],"diverse":[74],"rectify":[77],"314":[78],"bugs":[79,125],"from":[80,95],"open-source":[81],"Python":[82],"projects":[83],"within":[84],"BugsInPy":[86],"benchmark.":[87],"Our":[88],"findings":[89],"revealed":[90],"each":[92,119],"fact,":[93],"ranging":[94],"simple":[96],"syntactic":[97],"details":[98],"like":[99],"code":[100],"semantic":[103],"information":[104],"previously":[105],"unexplored":[106],"LLMs":[111],"angelic":[114],"values,":[115],"is":[116,151,201],"beneficial.":[117],"Specifically,":[118],"fact":[120,174,242,250],"aids":[121],"some":[124],"would":[127],"remain":[128],"unresolved":[129],"or":[130],"only":[131],"fixed":[133],"with":[134],"low":[136],"success":[137],"rate":[138],"without":[139],"it.":[140],"Importantly,":[141],"discovered":[143],"effectiveness":[146],"program":[148],"repair":[149,263],"non-monotonic":[152],"number":[155],"used":[157],"facts;":[158],"using":[159],"too":[160],"leads":[163],"subpar":[165],"outcomes.":[166],"These":[167],"insights":[168],"led":[169],"us":[170],"define":[172],"selection":[175,251],"problem:":[176],"determining":[177],"optimal":[179],"set":[180,204],"for":[183,207],"inclusion":[184],"prompt":[187],"LLM's":[190],"performance":[191,237],"on":[192],"given":[194,225],"task":[195],"instance.":[196],"We":[197],"found":[198],"there":[200],"no":[202],"one-size-fits-all":[203],"bug":[208,226,262],"repair.":[209],"Therefore,":[210],"developed":[212],"basic":[214],"statistical":[215],"model,":[216],"named":[217],"Maniple,":[218],"which":[219],"selects":[220],"specific":[222],"include":[228],"prompt.":[231],"This":[232],"model":[233],"significantly":[234],"surpasses":[235],"best":[240,279],"generic":[241],"set.":[243],"underscore":[245],"significance":[247],"problem,":[252],"benchmarked":[254],"Maniple":[255,272],"against":[256],"state-of-the-art":[258],"zero-shot,":[259],"non-conversational":[260],"LLM-based":[261],"methods.":[264],"On":[265],"our":[266],"testing":[267],"dataset":[268],"157":[270],"bugs,":[271,275],"repairs":[273],"88":[274],"17%":[276],"above":[277],"configuration.":[280]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}