{"id":"https://openalex.org/W4403223569","doi":"https://doi.org/10.1145/3689792","title":"Compositionality and Observational Refinement for Linearizability with Crashes","display_name":"Compositionality and Observational Refinement for Linearizability with Crashes","publication_year":2024,"publication_date":"2024-10-08","ids":{"openalex":"https://openalex.org/W4403223569","doi":"https://doi.org/10.1145/3689792"},"language":"en","primary_location":{"id":"doi:10.1145/3689792","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3689792","pdf_url":null,"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":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1145/3689792","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080211213","display_name":"Arthur Oliveira Vale","orcid":"https://orcid.org/0000-0003-1091-7560"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Arthur Oliveira Vale","raw_affiliation_strings":["Yale University, New Haven, USA"],"raw_orcid":"https://orcid.org/0000-0003-1091-7560","affiliations":[{"raw_affiliation_string":"Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108584227","display_name":"Zhongye Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhongye Wang","raw_affiliation_strings":["Yale University, New Haven, USA"],"raw_orcid":"https://orcid.org/0009-0002-4494-0486","affiliations":[{"raw_affiliation_string":"Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100725678","display_name":"Yixuan Chen","orcid":"https://orcid.org/0000-0001-8659-8493"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yixuan Chen","raw_affiliation_strings":["Yale University, New Haven, USA"],"raw_orcid":"https://orcid.org/0000-0001-8659-8493","affiliations":[{"raw_affiliation_string":"Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108158552","display_name":"Peixin You","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peixin You","raw_affiliation_strings":["Yale University, New Haven, USA"],"raw_orcid":"https://orcid.org/0009-0002-8035-5209","affiliations":[{"raw_affiliation_string":"Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070627140","display_name":"Zhong Shao","orcid":"https://orcid.org/0000-0001-8184-7649"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhong Shao","raw_affiliation_strings":["Yale University, New Haven, USA"],"raw_orcid":"https://orcid.org/0000-0001-8184-7649","affiliations":[{"raw_affiliation_string":"Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080211213"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":null,"apc_paid":null,"fwci":0.3364,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61319942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":"OOPSLA2","first_page":"2296","last_page":"2324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10772","display_name":"Distributed systems and fault tolerance","score":0.9994000196456909,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9639000296592712,"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"}},{"id":"https://openalex.org/T10919","display_name":"Neurological disorders and treatments","score":0.9520000219345093,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/principle-of-compositionality","display_name":"Principle of compositionality","score":0.8341269493103027},{"id":"https://openalex.org/keywords/observational-study","display_name":"Observational study","score":0.5750772356987},{"id":"https://openalex.org/keywords/linearizability","display_name":"Linearizability","score":0.5246408581733704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4060256779193878},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2701190710067749},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.164860337972641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1089915931224823},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09312152862548828}],"concepts":[{"id":"https://openalex.org/C121375916","wikidata":"https://www.wikidata.org/wiki/Q936559","display_name":"Principle of compositionality","level":2,"score":0.8341269493103027},{"id":"https://openalex.org/C23131810","wikidata":"https://www.wikidata.org/wiki/Q818574","display_name":"Observational study","level":2,"score":0.5750772356987},{"id":"https://openalex.org/C20528329","wikidata":"https://www.wikidata.org/wiki/Q513932","display_name":"Linearizability","level":3,"score":0.5246408581733704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4060256779193878},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2701190710067749},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.164860337972641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1089915931224823},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09312152862548828},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3689792","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3689792","pdf_url":null,"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"}],"best_oa_location":{"id":"doi:10.1145/3689792","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3689792","pdf_url":null,"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/G7412664835","display_name":null,"funder_award_id":"2313433, 2019285, 1763399","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W75891272","https://openalex.org/W1870018393","https://openalex.org/W1981439955","https://openalex.org/W2010912446","https://openalex.org/W2030121500","https://openalex.org/W2039966494","https://openalex.org/W2041617655","https://openalex.org/W2056634143","https://openalex.org/W2073742357","https://openalex.org/W2097920868","https://openalex.org/W2101939036","https://openalex.org/W2139533136","https://openalex.org/W2144549530","https://openalex.org/W2339401772","https://openalex.org/W2511114427","https://openalex.org/W2575900856","https://openalex.org/W2596852931","https://openalex.org/W2787750560","https://openalex.org/W2899662671","https://openalex.org/W2954603400","https://openalex.org/W2979682152","https://openalex.org/W2982041059","https://openalex.org/W2996634758","https://openalex.org/W3031613435","https://openalex.org/W3215427419","https://openalex.org/W4220719345","https://openalex.org/W4226276944","https://openalex.org/W4237730680","https://openalex.org/W4244463218","https://openalex.org/W4315606551","https://openalex.org/W4315630770","https://openalex.org/W4390397846","https://openalex.org/W4391282620","https://openalex.org/W4403223569","https://openalex.org/W6929087688"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W1526190050","https://openalex.org/W4251923961","https://openalex.org/W2477397717","https://openalex.org/W2500457737","https://openalex.org/W2010490241","https://openalex.org/W4287025733","https://openalex.org/W4317425742","https://openalex.org/W4315606551"],"abstract_inverted_index":{"Crash-safety":[0],"is":[1,15],"an":[2,117],"important":[3],"property":[4,102],"of":[5,12,41,53,70,129,144,159,185,197,205,237,245,259],"real":[6],"systems,":[7],"as":[8,155,181],"the":[9,51,213,229,243],"main":[10],"functionality":[11],"some":[13],"systems":[14],"resilience":[16],"to":[17,35,44,91,115,139],"crashes.":[18,134,240],"Toward":[19],"a":[20,55,97,126,141,150,203,219,235,249,257,260,264],"compositional":[21,86,127,142],"verification":[22],"approach":[23],"for":[24,202,222,263],"crash-safety":[25],"under":[26],"full-system":[27,133],"crashes,":[28,147,193],"one":[29],"observes":[30],"that":[31,58,90,171,233],"crashes":[32,61,111],"propagate":[33],"instantaneously":[34],"all":[36,39],"components":[37],"across":[38],"levels":[40],"abstraction,":[42],"even":[43],"unspecified":[45],"components,":[46],"hindering":[47],"compositionality.":[48],"Furthermore,":[49],"in":[50],"presence":[52],"concurrency,":[54],"correctness":[56],"criterion":[57,109],"addresses":[59],"both":[60,96,163],"and":[62,81,99,161,165,174,191,199,224,256],"concurrency":[63],"proves":[64],"necessary.":[65,104],"For":[66],"this,":[67],"several":[68],"adaptations":[69],"linearizability":[71,87,108,145,153,160,173,176,180,238],"have":[72],"been":[73,113],"suggested,":[74],"each":[75],"featuring":[76],"different":[77,183],"trade-offs":[78],"between":[79,187],"complexity":[80],"expressiveness.":[82],"The":[83],"recently":[84],"proposed":[85],"framework":[88],"shows":[89],"achieve":[92],"compositionality":[93,246],"with":[94,110,132,146,190,218,239],"linearizability,":[95,226],"locality":[98,164,198],"observational":[100,118,166,200],"refinement":[101,119,201],"are":[103],"Despite":[105],"that,":[106],"no":[107],"has":[112],"proven":[114],"support":[116],"property.":[120],"In":[121],"this":[122,137],"paper,":[123],"we":[124,210],"define":[125],"model":[128,138],"concurrent":[130,188],"computation":[131,189],"We":[135,168,241],"use":[136],"develop":[140],"theory":[143,214],"which":[148,227],"reveals":[149],"criterion,":[151],"crash-aware":[152,179,225],",":[154],"its":[156],"inherent":[157],"notion":[158],"supports":[162],"refinement.":[167],"then":[169],"show":[170,211],"strict":[172],"durable":[175,223],"factor":[177],"through":[178],"two":[182,207],"ways":[184],"translating":[186],"without":[192],"enabling":[194],"simple":[195],"proofs":[196],"generalization":[204],"these":[206],"criteria.":[208],"Then,":[209],"how":[212],"can":[215],"be":[216],"connected":[217],"program":[220,231],"logic":[221,232],"gives":[228],"first":[230],"verifies":[234],"form":[236],"showcase":[242],"advantages":[244],"by":[247],"verifying":[248],"library":[250],"facilitating":[251],"programming":[252],"persistent":[253],"data":[254],"structures":[255],"fragment":[258],"transactional":[261],"interface":[262],"file":[265],"system.":[266]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-02-07T06:11:34.122080","created_date":"2025-10-10T00:00:00"}
