{"id":"https://openalex.org/W4251697482","doi":"https://doi.org/10.1145/2491894.2466483","title":"Precise and scalable context-sensitive pointer analysis via value flow graph","display_name":"Precise and scalable context-sensitive pointer analysis via value flow graph","publication_year":2013,"publication_date":"2013-06-11","ids":{"openalex":"https://openalex.org/W4251697482","doi":"https://doi.org/10.1145/2491894.2466483"},"language":"en","primary_location":{"id":"doi:10.1145/2491894.2466483","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2491894.2466483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 international symposium on memory management","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/A5100317802","display_name":"Lian Li","orcid":"https://orcid.org/0000-0002-4476-0541"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lian Li","raw_affiliation_strings":["Oracle Labs, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"Oracle Labs, Brisbane, Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110303479","display_name":"Cristina Cifuentes","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cristina Cifuentes","raw_affiliation_strings":["Oracle Labs, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"Oracle Labs, Brisbane, Australia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040463119","display_name":"Nathan Keynes","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nathan Keynes","raw_affiliation_strings":["Oracle Labs, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"Oracle Labs, Brisbane, Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100317802"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0028,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.92453115,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"85","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10126","display_name":"Logic, programming, and type systems","score":0.9995999932289124,"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/T10126","display_name":"Logic, programming, and type systems","score":0.9995999932289124,"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/T10142","display_name":"Formal Methods in Verification","score":0.9984999895095825,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pointer-analysis","display_name":"Pointer analysis","score":0.9122818112373352},{"id":"https://openalex.org/keywords/heap","display_name":"Heap (data structure)","score":0.7750617265701294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6849046349525452},{"id":"https://openalex.org/keywords/call-graph","display_name":"Call graph","score":0.6802196502685547},{"id":"https://openalex.org/keywords/reachability","display_name":"Reachability","score":0.5449047088623047},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5155496597290039},{"id":"https://openalex.org/keywords/pointer","display_name":"Pointer (user interface)","score":0.4918113052845001},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4435429871082306},{"id":"https://openalex.org/keywords/control-flow-graph","display_name":"Control flow graph","score":0.4351620674133301},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.345897376537323},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.18761363625526428},{"id":"https://openalex.org/keywords/static-analysis","display_name":"Static analysis","score":0.16306787729263306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13930797576904297},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07253170013427734}],"concepts":[{"id":"https://openalex.org/C7263679","wikidata":"https://www.wikidata.org/wiki/Q5978076","display_name":"Pointer analysis","level":3,"score":0.9122818112373352},{"id":"https://openalex.org/C134757568","wikidata":"https://www.wikidata.org/wiki/Q274089","display_name":"Heap (data structure)","level":2,"score":0.7750617265701294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6849046349525452},{"id":"https://openalex.org/C102379954","wikidata":"https://www.wikidata.org/wiki/Q2589940","display_name":"Call graph","level":2,"score":0.6802196502685547},{"id":"https://openalex.org/C136643341","wikidata":"https://www.wikidata.org/wiki/Q1361526","display_name":"Reachability","level":2,"score":0.5449047088623047},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5155496597290039},{"id":"https://openalex.org/C150202949","wikidata":"https://www.wikidata.org/wiki/Q107602","display_name":"Pointer (user interface)","level":2,"score":0.4918113052845001},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4435429871082306},{"id":"https://openalex.org/C27458966","wikidata":"https://www.wikidata.org/wiki/Q1187693","display_name":"Control flow graph","level":2,"score":0.4351620674133301},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.345897376537323},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.18761363625526428},{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.16306787729263306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13930797576904297},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07253170013427734}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2491894.2466483","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2491894.2466483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 international symposium on memory management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1507552563","https://openalex.org/W1837958857","https://openalex.org/W1965604953","https://openalex.org/W1971782746","https://openalex.org/W1974604404","https://openalex.org/W1991546210","https://openalex.org/W1996567876","https://openalex.org/W1999517284","https://openalex.org/W2003028733","https://openalex.org/W2008106620","https://openalex.org/W2031525781","https://openalex.org/W2032854624","https://openalex.org/W2048229966","https://openalex.org/W2050320220","https://openalex.org/W2053519844","https://openalex.org/W2056331235","https://openalex.org/W2059590831","https://openalex.org/W2069482167","https://openalex.org/W2073344389","https://openalex.org/W2078739669","https://openalex.org/W2080205938","https://openalex.org/W2102440514","https://openalex.org/W2104009155","https://openalex.org/W2112936713","https://openalex.org/W2119137801","https://openalex.org/W2127929122","https://openalex.org/W2131135493","https://openalex.org/W2148755014","https://openalex.org/W2151360539","https://openalex.org/W2154847114","https://openalex.org/W2158600037","https://openalex.org/W2162544703","https://openalex.org/W2914074464","https://openalex.org/W4241352414","https://openalex.org/W4243644740","https://openalex.org/W4245921527","https://openalex.org/W4247889999","https://openalex.org/W4251478049"],"related_works":["https://openalex.org/W2296034340","https://openalex.org/W2622138879","https://openalex.org/W2109005061","https://openalex.org/W4233102183","https://openalex.org/W2120308515","https://openalex.org/W1634343840","https://openalex.org/W3206713834","https://openalex.org/W2152043747","https://openalex.org/W2157202426","https://openalex.org/W2038036666"],"abstract_inverted_index":{"In":[0,37],"this":[1],"paper,":[2],"we":[3],"propose":[4,79],"a":[5,34,54,65,80],"novel":[6,35],"method":[7],"for":[8,83],"context-sensitive":[9],"pointer":[10],"analysis":[11],"using":[12,53],"the":[13],"value":[14,59],"flow":[15,60],"graph":[16],"(VFG)":[17],"formulation.":[18],"We":[19,68],"achieve":[20],"context-sensitivity":[21,70],"by":[22,52],"simultaneously":[23],"applying":[24],"function":[25],"cloning":[26],"and":[27,42,75,78],"computing":[28],"context-free":[29],"language":[30],"reachability":[31],"(CFL-reachability)":[32],"in":[33,49,64],"way.":[36],"contrast":[38],"to":[39,71],"existing":[40],"clone-based":[41],"CFL-based":[43],"approaches,":[44],"flow-sensitivity":[45],"is":[46,62],"easily":[47],"integrated":[48],"our":[50],"approach":[51],"flow-sensitive":[55,66],"VFG":[56],"where":[57],"each":[58],"edge":[61],"computed":[63],"manner.":[67],"apply":[69],"both":[72],"local":[73],"variables":[74],"heap":[76,84],"objects":[77],"new":[81],"approximation":[82],"cloning.":[85]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}
