{"id":"https://openalex.org/W3092881338","doi":"https://doi.org/10.1145/3428295","title":"Just-in-time learning for bottom-up enumerative synthesis","display_name":"Just-in-time learning for bottom-up enumerative synthesis","publication_year":2020,"publication_date":"2020-11-13","ids":{"openalex":"https://openalex.org/W3092881338","doi":"https://doi.org/10.1145/3428295","mag":"3092881338"},"language":"en","primary_location":{"id":"doi:10.1145/3428295","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3428295","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3428295","source":{"id":"https://openalex.org/S4210216081","display_name":"Proceedings of the ACM on Programming Languages","issn_l":"2475-1421","issn":["2475-1421"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Programming Languages","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3428295","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034064916","display_name":"Shraddha Barke","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shraddha Barke","raw_affiliation_strings":["University of California at San Diego, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California at San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079058381","display_name":"Hila Peleg","orcid":"https://orcid.org/0000-0002-0107-5659"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hila Peleg","raw_affiliation_strings":["University of California at San Diego, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California at San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090671359","display_name":"Nadia Polikarpova","orcid":"https://orcid.org/0000-0001-5571-173X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nadia Polikarpova","raw_affiliation_strings":["University of California at San Diego, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California at San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034064916"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":5.5691,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.96239371,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"4","issue":"OOPSLA","first_page":"1","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9991000294685364,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7761765718460083},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7183467149734497},{"id":"https://openalex.org/keywords/program-synthesis","display_name":"Program synthesis","score":0.5867820978164673},{"id":"https://openalex.org/keywords/top-down-and-bottom-up-design","display_name":"Top-down and bottom-up design","score":0.4948086142539978},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.47272247076034546},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4614056646823883},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44856616854667664},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.41524267196655273},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3887335956096649},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36435869336128235},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34891635179519653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3379979729652405},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2325422465801239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09420835971832275}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7761765718460083},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7183467149734497},{"id":"https://openalex.org/C2776937632","wikidata":"https://www.wikidata.org/wiki/Q4117718","display_name":"Program synthesis","level":2,"score":0.5867820978164673},{"id":"https://openalex.org/C135798126","wikidata":"https://www.wikidata.org/wiki/Q2167279","display_name":"Top-down and bottom-up design","level":2,"score":0.4948086142539978},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.47272247076034546},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4614056646823883},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44856616854667664},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.41524267196655273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3887335956096649},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36435869336128235},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34891635179519653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3379979729652405},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2325422465801239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09420835971832275},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3428295","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3428295","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3428295","source":{"id":"https://openalex.org/S4210216081","display_name":"Proceedings of the ACM on Programming Languages","issn_l":"2475-1421","issn":["2475-1421"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Programming Languages","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2010.08663","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.08663","pdf_url":"https://arxiv.org/pdf/2010.08663","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3428295","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3428295","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3428295","source":{"id":"https://openalex.org/S4210216081","display_name":"Proceedings of the ACM on Programming Languages","issn_l":"2475-1421","issn":["2475-1421"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Programming Languages","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2625870048","display_name":"SHF: Medium: Generating Correctness Proofs with Neural Networks","funder_award_id":"1955457","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6182133220","display_name":null,"funder_award_id":"1911149","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3092881338.pdf","grobid_xml":"https://content.openalex.org/works/W3092881338.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1530458829","https://openalex.org/W1905591175","https://openalex.org/W1965446936","https://openalex.org/W2013596093","https://openalex.org/W2091385303","https://openalex.org/W2093535699","https://openalex.org/W2134734244","https://openalex.org/W2144951274","https://openalex.org/W2157976942","https://openalex.org/W2158615804","https://openalex.org/W2161159055","https://openalex.org/W2162960800","https://openalex.org/W2263738566","https://openalex.org/W2330908417","https://openalex.org/W2549523399","https://openalex.org/W2550471858","https://openalex.org/W2554492429","https://openalex.org/W2561055248","https://openalex.org/W2576723740","https://openalex.org/W2603456259","https://openalex.org/W2626990892","https://openalex.org/W2731197199","https://openalex.org/W2735990162","https://openalex.org/W2765742677","https://openalex.org/W2768805914","https://openalex.org/W2786248241","https://openalex.org/W2898750165","https://openalex.org/W2901330051","https://openalex.org/W2905664673","https://openalex.org/W2910204069","https://openalex.org/W2951383421","https://openalex.org/W2952842591","https://openalex.org/W2956992268","https://openalex.org/W2963935794","https://openalex.org/W3004239592","https://openalex.org/W3005855585","https://openalex.org/W3008793775","https://openalex.org/W3013861782","https://openalex.org/W3043557120","https://openalex.org/W3092881338","https://openalex.org/W3107341969","https://openalex.org/W3109609376","https://openalex.org/W3139850658","https://openalex.org/W3146371897","https://openalex.org/W3147069655","https://openalex.org/W4229517606","https://openalex.org/W4237412827","https://openalex.org/W4241222526","https://openalex.org/W4251125603","https://openalex.org/W4253977062"],"related_works":["https://openalex.org/W1543048115","https://openalex.org/W4388713123","https://openalex.org/W22958017","https://openalex.org/W3194438104","https://openalex.org/W2438475373","https://openalex.org/W2494523064","https://openalex.org/W2943623134","https://openalex.org/W2064871819","https://openalex.org/W2588219639","https://openalex.org/W2368237856"],"abstract_inverted_index":{"A":[0],"key":[1],"challenge":[2],"in":[3,80,129,137],"program":[4,63,106],"synthesis":[5,29,141],"is":[6,51],"the":[7,11,14,91,95,99,116,138,150,192,207],"astronomical":[8],"size":[9],"of":[10,66,71,98,178,194],"search":[12,119,164],"space":[13],"synthesizer":[15],"has":[16],"to":[17,21,27,61,76],"explore.":[18],"In":[19,53],"response":[20],"this":[22,54,127],"challenge,":[23],"recent":[24],"work":[25,55],"proposed":[26],"guide":[28],"using":[30],"learned":[31],"probabilistic":[32,123],"models.":[33,124],"Obtaining":[34],"such":[35],"a":[36,43,68,104,130,167,176],"model,":[37,100],"however,":[38],"might":[39],"be":[40],"infeasible":[41],"for":[42],"problem":[44],"domain":[45],"where":[46],"no":[47,212],"high-quality":[48],"training":[49,67],"data":[50],"available.":[52],"we":[56,73,101,109,182],"introduce":[57],"an":[58],"alternative":[59],"approach":[60,128],"guided":[62,111],"synthesis:":[64],"instead":[65],"model":[69],"ahead":[70],"time":[72],"show":[74,153,183],"how":[75],"bootstrap":[77],"one":[78],"just":[79],"time,":[81],"during":[82],"synthesis,":[83],"by":[84,199],"learning":[85],"from":[86,122,149],"partial":[87],"solutions":[88,209],"encountered":[89],"along":[90],"way.":[92],"To":[93],"make":[94],"best":[96],"use":[97],"also":[102],"propose":[103],"new":[105],"enumeration":[107],"algorithm":[108],"dub":[110],"bottom-up":[112,118,163],"search,":[113],"which":[114,134,171],"extends":[115],"efficient":[117],"with":[120],"guidance":[121],"We":[125,144],"implement":[126],"tool":[131],"called":[132],"Probe,":[133],"targets":[135],"problems":[136],"popular":[139],"syntax-guided":[140],"(SyGuS)":[142],"format.":[143],"evaluate":[145],"Probe":[146,200],"on":[147,175],"benchmarks":[148],"literature":[151],"and":[152,165,210],"that":[154,184],"it":[155],"achieves":[156],"significant":[157],"performance":[158,186],"gains":[159,187],"both":[160],"over":[161,166],"unguided":[162],"state-of-the-art":[168],"probability-guided":[169],"synthesizer,":[170],"had":[172],"been":[173],"trained":[174],"corpus":[177],"existing":[179],"solutions.":[180],"Moreover,":[181],"these":[185],"do":[188],"not":[189],"come":[190],"at":[191],"cost":[193],"solution":[195],"quality:":[196],"programs":[197],"generated":[198],"are":[201],"only":[202],"slightly":[203],"more":[204],"verbose":[205],"than":[206],"shortest":[208],"perform":[211],"unnecessary":[213],"case-splitting.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}
