{"id":"https://openalex.org/W2904828193","doi":"https://doi.org/10.1145/3314221.3314603","title":"Bidirectional type checking for relational properties","display_name":"Bidirectional type checking for relational properties","publication_year":2019,"publication_date":"2019-06-07","ids":{"openalex":"https://openalex.org/W2904828193","doi":"https://doi.org/10.1145/3314221.3314603","mag":"2904828193"},"language":"en","primary_location":{"id":"doi:10.1145/3314221.3314603","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3314221.3314603","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3314221.3314603","source":null,"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 40th ACM SIGPLAN Conference on Programming Language Design and Implementation","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3314221.3314603","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ezgi \u00c7i\u00e7ek","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ezgi \u00c7i\u00e7ek","raw_affiliation_strings":["Facebook, USA"],"affiliations":[{"raw_affiliation_string":"Facebook, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weihao Qu","orcid":null},"institutions":[{"id":"https://openalex.org/I115441956","display_name":"Buffalo State University","ror":"https://ror.org/05ms04m92","country_code":"US","type":"education","lineage":["https://openalex.org/I115441956"]},{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weihao Qu","raw_affiliation_strings":["SUNY Buffalo, USA"],"affiliations":[{"raw_affiliation_string":"SUNY Buffalo, USA","institution_ids":["https://openalex.org/I115441956","https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gilles Barthe","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162154","display_name":"IMDEA Software","ror":"https://ror.org/04xvfkh51","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I4210162154"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Gilles Barthe","raw_affiliation_strings":["MPI for Security and Privacy, Germany / IMDEA Software Institute, Spain"],"affiliations":[{"raw_affiliation_string":"MPI for Security and Privacy, Germany / IMDEA Software Institute, Spain","institution_ids":["https://openalex.org/I4210162154"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Marco Gaboardi","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]},{"id":"https://openalex.org/I115441956","display_name":"Buffalo State University","ror":"https://ror.org/05ms04m92","country_code":"US","type":"education","lineage":["https://openalex.org/I115441956"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marco Gaboardi","raw_affiliation_strings":["SUNY Buffalo, USA"],"affiliations":[{"raw_affiliation_string":"SUNY Buffalo, USA","institution_ids":["https://openalex.org/I115441956","https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":null,"display_name":"Deepak Garg","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121786","display_name":"Max Planck Institute for Software Systems","ror":"https://ror.org/02pe2kf23","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210121786"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Deepak Garg","raw_affiliation_strings":["MPI-SWS, Germany"],"affiliations":[{"raw_affiliation_string":"MPI-SWS, Germany","institution_ids":["https://openalex.org/I4210121786"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210114444"],"apc_list":null,"apc_paid":null,"fwci":1.5997,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84587549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"533","last_page":"547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10142","display_name":"Formal Methods in Verification","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10142","display_name":"Formal Methods in Verification","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10126","display_name":"Logic, programming, and type systems","score":0.9979000091552734,"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/T11424","display_name":"Security and Verification in Computing","score":0.9915000200271606,"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/codds-theorem","display_name":"Codd's theorem","score":0.774399995803833},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.7404999732971191},{"id":"https://openalex.org/keywords/relational-calculus","display_name":"Relational calculus","score":0.6385999917984009},{"id":"https://openalex.org/keywords/relational-model","display_name":"Relational model","score":0.6225000023841858},{"id":"https://openalex.org/keywords/relational-algebra","display_name":"Relational algebra","score":0.5842000246047974},{"id":"https://openalex.org/keywords/conjunctive-query","display_name":"Conjunctive query","score":0.48410001397132874},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.48010000586509705},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4458000063896179},{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"Statistical relational learning","score":0.42719998955726624}],"concepts":[{"id":"https://openalex.org/C16739119","wikidata":"https://www.wikidata.org/wiki/Q5139948","display_name":"Codd's theorem","level":5,"score":0.774399995803833},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.7404999732971191},{"id":"https://openalex.org/C99436015","wikidata":"https://www.wikidata.org/wiki/Q1722436","display_name":"Relational calculus","level":4,"score":0.6385999917984009},{"id":"https://openalex.org/C40207289","wikidata":"https://www.wikidata.org/wiki/Q755662","display_name":"Relational model","level":3,"score":0.6225000023841858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5875999927520752},{"id":"https://openalex.org/C95916125","wikidata":"https://www.wikidata.org/wiki/Q840540","display_name":"Relational algebra","level":3,"score":0.5842000246047974},{"id":"https://openalex.org/C65647387","wikidata":"https://www.wikidata.org/wiki/Q1781706","display_name":"Conjunctive query","level":3,"score":0.48410001397132874},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.48010000586509705},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4641999900341034},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4458000063896179},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.42719998955726624},{"id":"https://openalex.org/C52268767","wikidata":"https://www.wikidata.org/wiki/Q1248245","display_name":"Relational theory","level":2,"score":0.4122999906539917},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.40939998626708984},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.367900013923645},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.3506999909877777},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34369999170303345},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.30660000443458557},{"id":"https://openalex.org/C24394798","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database management system","level":3,"score":0.3010999858379364},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.296099990606308},{"id":"https://openalex.org/C103593891","wikidata":"https://www.wikidata.org/wiki/Q624546","display_name":"Entity\u2013relationship model","level":3,"score":0.29350000619888306},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3314221.3314603","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3314221.3314603","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3314221.3314603","source":null,"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 40th ACM SIGPLAN Conference on Programming Language Design and Implementation","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1812.05067","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.05067","pdf_url":"https://arxiv.org/pdf/1812.05067","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:10.1145/3314221.3314603","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3314221.3314603","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3314221.3314603","source":null,"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 40th ACM SIGPLAN Conference on Programming Language Design and Implementation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6943324376","display_name":null,"funder_award_id":"1718220","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/W2904828193.pdf","grobid_xml":"https://content.openalex.org/works/W2904828193.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1510530859","https://openalex.org/W1820726602","https://openalex.org/W1830196027","https://openalex.org/W2005192022","https://openalex.org/W2007273498","https://openalex.org/W2032220227","https://openalex.org/W2036676170","https://openalex.org/W2038534598","https://openalex.org/W2039769798","https://openalex.org/W2061056245","https://openalex.org/W2071592032","https://openalex.org/W2076653850","https://openalex.org/W2090046646","https://openalex.org/W2102222848","https://openalex.org/W2119859640","https://openalex.org/W2128529251","https://openalex.org/W2128932642","https://openalex.org/W2131916293","https://openalex.org/W2137417304","https://openalex.org/W2139143398","https://openalex.org/W2144778998","https://openalex.org/W2147778310","https://openalex.org/W2170528665","https://openalex.org/W2514317887","https://openalex.org/W2602388145","https://openalex.org/W2788983559","https://openalex.org/W4298195558","https://openalex.org/W6604551599","https://openalex.org/W6657182261","https://openalex.org/W6662078416","https://openalex.org/W6672636230","https://openalex.org/W6680116510","https://openalex.org/W6686542913","https://openalex.org/W6693804425"],"related_works":[],"abstract_inverted_index":{"Relational":[0,47],"type":[1,48,76],"systems":[2,25,49,77],"have":[3],"been":[4],"designed":[5],"for":[6,52,99],"several":[7],"applications":[8],"including":[9],"information":[10],"flow,":[11],"differential":[12],"privacy,":[13],"and":[14,30,59],"cost":[15],"analysis.":[16],"In":[17],"order":[18],"to":[19,33],"achieve":[20,81],"the":[21,36,39,42,70,82,93],"best":[22],"results,":[23],"these":[24],"often":[26],"use":[27],"relational":[28,31,53,75],"refinements":[29],"effects":[32],"maximally":[34],"exploit":[35],"similarity":[37],"in":[38,89],"structure":[40],"of":[41,85,92,95],"two":[43,71],"programs":[44,72],"being":[45],"compared.":[46],"are":[50],"appealing":[51],"properties":[54],"because":[55,91],"they":[56],"deliver":[57],"simpler":[58],"more":[60],"precise":[61],"verification":[62],"than":[63],"what":[64],"could":[65],"be":[66],"derived":[67],"from":[68],"typing":[69],"separately.":[73],"However,":[74],"do":[78],"not":[79],"yet":[80],"practical":[83],"appeal":[84],"their":[86],"non-relational":[87],"counterpart,":[88],"part":[90],"lack":[94],"a":[96],"general":[97],"foundation":[98],"implementing":[100],"them.":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2018-12-22T00:00:00"}