{"id":"https://openalex.org/W4410357479","doi":"https://doi.org/10.1145/3672608.3707849","title":"Weakest Safe Context Synthesis by Symbolic Game Semantics and Logical Abduction","display_name":"Weakest Safe Context Synthesis by Symbolic Game Semantics and Logical Abduction","publication_year":2025,"publication_date":"2025-03-31","ids":{"openalex":"https://openalex.org/W4410357479","doi":"https://doi.org/10.1145/3672608.3707849"},"language":"en","primary_location":{"id":"doi:10.1145/3672608.3707849","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672608.3707849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing","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/A5063086549","display_name":"Aleksandar S. Dimovski","orcid":"https://orcid.org/0000-0002-3601-2631"},"institutions":[{"id":"https://openalex.org/I4391012568","display_name":"Mother Teresa University","ror":"https://ror.org/04wnz0192","country_code":null,"type":"education","lineage":["https://openalex.org/I4391012568"]},{"id":"https://openalex.org/I2800414091","display_name":"Mother Teresa Hospital","ror":"https://ror.org/027x3m696","country_code":"AL","type":"healthcare","lineage":["https://openalex.org/I2800414091"]}],"countries":["AL"],"is_corresponding":true,"raw_author_name":"Aleksandar S. Dimovski","raw_affiliation_strings":["Mother Teresa University, Skopje, Skopje, Macedonia"],"affiliations":[{"raw_affiliation_string":"Mother Teresa University, Skopje, Skopje, Macedonia","institution_ids":["https://openalex.org/I2800414091","https://openalex.org/I4391012568"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5063086549"],"corresponding_institution_ids":["https://openalex.org/I2800414091","https://openalex.org/I4391012568"],"apc_list":null,"apc_paid":null,"fwci":11.3657,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.97991678,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1990","last_page":"1997"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9969000220298767,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9969000220298767,"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/T10028","display_name":"Topic Modeling","score":0.9961000084877014,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9944999814033508,"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":0.7473943829536438},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6556177139282227},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6420812010765076},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.6148821115493774},{"id":"https://openalex.org/keywords/game-semantics","display_name":"Game semantics","score":0.5805027484893799},{"id":"https://openalex.org/keywords/symbolic-execution","display_name":"Symbolic execution","score":0.46862202882766724},{"id":"https://openalex.org/keywords/operational-semantics","display_name":"Operational semantics","score":0.4209415018558502},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3309480547904968},{"id":"https://openalex.org/keywords/denotational-semantics","display_name":"Denotational semantics","score":0.14225968718528748}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7473943829536438},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6556177139282227},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6420812010765076},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.6148821115493774},{"id":"https://openalex.org/C9672783","wikidata":"https://www.wikidata.org/wiki/Q65122115","display_name":"Game semantics","level":5,"score":0.5805027484893799},{"id":"https://openalex.org/C2779639559","wikidata":"https://www.wikidata.org/wiki/Q7661178","display_name":"Symbolic execution","level":3,"score":0.46862202882766724},{"id":"https://openalex.org/C156325763","wikidata":"https://www.wikidata.org/wiki/Q1930895","display_name":"Operational semantics","level":3,"score":0.4209415018558502},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3309480547904968},{"id":"https://openalex.org/C207648694","wikidata":"https://www.wikidata.org/wiki/Q1189746","display_name":"Denotational semantics","level":4,"score":0.14225968718528748},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3672608.3707849","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672608.3707849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W22667845","https://openalex.org/W1578990048","https://openalex.org/W1592751104","https://openalex.org/W1593349323","https://openalex.org/W1901568548","https://openalex.org/W1970168990","https://openalex.org/W1996612506","https://openalex.org/W2024189573","https://openalex.org/W2051883613","https://openalex.org/W2124580491","https://openalex.org/W2144196848","https://openalex.org/W2189959137","https://openalex.org/W2267830770","https://openalex.org/W2751973257","https://openalex.org/W2762612122","https://openalex.org/W2921381765","https://openalex.org/W3036435269","https://openalex.org/W3038077494","https://openalex.org/W3144959586","https://openalex.org/W3160709053","https://openalex.org/W3169946360","https://openalex.org/W3200336857","https://openalex.org/W3209583808","https://openalex.org/W4362663227","https://openalex.org/W4387885404"],"related_works":["https://openalex.org/W4239107164","https://openalex.org/W2160196023","https://openalex.org/W1487966966","https://openalex.org/W1482532369","https://openalex.org/W2245685274","https://openalex.org/W2188386601","https://openalex.org/W3042312155","https://openalex.org/W2788308474","https://openalex.org/W2100934637","https://openalex.org/W3038077494"],"abstract_inverted_index":{"Game":[0],"semantics":[1],"provides":[2],"fully":[3],"abstract":[4],"(sound":[5],"and":[6],"complete)":[7],"models":[8,28,59],"for":[9,29],"open":[10],"program":[11,40,77],"fragments":[12],"with":[13],"undefined,":[14],"non-local,":[15],"identifiers":[16],"(e.g.":[17],"library":[18],"functions).":[19],"This":[20],"is":[21],"achieved":[22],"by":[23],"using":[24],"the":[25,33,39,56,64,75],"\"most":[26],"general\"":[27],"undefined":[30,61],"identifiers,":[31,62],"i.e.":[32,63],"most":[34,57],"generic":[35],"context":[36],"in":[37],"which":[38],"fragment":[41],"will":[42],"be":[43],"inserted.":[44],"Given":[45],"a":[46],"safety":[47,73],"property":[48],"as":[49],"an":[50],"assertion,":[51],"we":[52],"want":[53],"to":[54,71],"find":[55],"permissive":[58],"of":[60,74],"weakest":[65],"safe":[66],"context,":[67],"that":[68],"are":[69],"sufficient":[70],"ensure":[72],"given":[76],"fragment.":[78]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}