{"id":"https://openalex.org/W2032053109","doi":"https://doi.org/10.1145/1250734.1250750","title":"Automatic inference of optimizer flow functions from semantic meanings","display_name":"Automatic inference of optimizer flow functions from semantic meanings","publication_year":2007,"publication_date":"2007-06-10","ids":{"openalex":"https://openalex.org/W2032053109","doi":"https://doi.org/10.1145/1250734.1250750","mag":"2032053109"},"language":"en","primary_location":{"id":"doi:10.1145/1250734.1250750","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1250734.1250750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGPLAN Conference on Programming Language Design and Implementation","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/A5064608247","display_name":"Erika Rice Scherpelz","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erika Rice Scherpelz","raw_affiliation_strings":["Google, Kirkland, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Kirkland, WA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043665959","display_name":"Sorin Lerner","orcid":"https://orcid.org/0000-0003-3957-0628"},"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":"Sorin Lerner","raw_affiliation_strings":["University of California, San Diego, San Diego, CA","University of California San Diego, San diego, CA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, San Diego, San Diego, CA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"University of California San Diego, San diego, CA#TAB#","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070604627","display_name":"Craig Chambers","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Craig Chambers","raw_affiliation_strings":["University of Washington, Seattle, WA","University Of Washington (Seattle, WA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University Of Washington (Seattle, WA)","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9376,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.87977783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"135","last_page":"145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10126","display_name":"Logic, programming, and type systems","score":0.9991999864578247,"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":0.9991999864578247,"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":0.996399998664856,"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":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8527942895889282},{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.8089044690132141},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.7258405685424805},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.6398566961288452},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.6357778310775757},{"id":"https://openalex.org/keywords/dataflow-architecture","display_name":"Dataflow architecture","score":0.580039381980896},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5149703621864319},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44536274671554565},{"id":"https://openalex.org/keywords/data-flow-diagram","display_name":"Data flow diagram","score":0.42521896958351135},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3952937722206116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34163764119148254},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.25811392068862915},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13064220547676086}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8527942895889282},{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.8089044690132141},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7258405685424805},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.6398566961288452},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.6357778310775757},{"id":"https://openalex.org/C176727019","wikidata":"https://www.wikidata.org/wiki/Q1172415","display_name":"Dataflow architecture","level":3,"score":0.580039381980896},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5149703621864319},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44536274671554565},{"id":"https://openalex.org/C489000","wikidata":"https://www.wikidata.org/wiki/Q747385","display_name":"Data flow diagram","level":2,"score":0.42521896958351135},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3952937722206116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34163764119148254},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.25811392068862915},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13064220547676086}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1250734.1250750","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1250734.1250750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGPLAN Conference on Programming Language Design and Implementation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.127.1040","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.127.1040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ucsd.edu/~lerner/papers/inferring_flow_functions.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W69399","https://openalex.org/W153567890","https://openalex.org/W1497571013","https://openalex.org/W1500085611","https://openalex.org/W1503701626","https://openalex.org/W1534850143","https://openalex.org/W1557880268","https://openalex.org/W1565996669","https://openalex.org/W1569569047","https://openalex.org/W1575079504","https://openalex.org/W1586167239","https://openalex.org/W1597068544","https://openalex.org/W1602537816","https://openalex.org/W1727609483","https://openalex.org/W2000178662","https://openalex.org/W2029251029","https://openalex.org/W2055477538","https://openalex.org/W2070324762","https://openalex.org/W2125076295","https://openalex.org/W2125346056","https://openalex.org/W2128057448","https://openalex.org/W2140191215","https://openalex.org/W2144540543","https://openalex.org/W2147543351","https://openalex.org/W2159873002","https://openalex.org/W2162284942","https://openalex.org/W2170770935","https://openalex.org/W2251049199","https://openalex.org/W2295903414","https://openalex.org/W4234528212","https://openalex.org/W4242057943","https://openalex.org/W4247332426","https://openalex.org/W6629659108","https://openalex.org/W6631954194","https://openalex.org/W6635592456"],"related_works":["https://openalex.org/W2355267286","https://openalex.org/W4377693460","https://openalex.org/W4320067870","https://openalex.org/W2670084885","https://openalex.org/W2040778456","https://openalex.org/W2905159200","https://openalex.org/W4229759254","https://openalex.org/W2403596187","https://openalex.org/W3168546815","https://openalex.org/W2151773378"],"abstract_inverted_index":{"Previous":[0],"work":[1],"presented":[2],"a":[3,33,125],"language":[4],"called":[5],"Rhodium":[6,39],"for":[7,101,124],"writing":[8],"program":[9],"analyses":[10],"and":[11,63,115],"transformations,":[12],"in":[13,108],"the":[14,38,44,47,57,60,69,72,77,89,92,109,112,138],"form":[15],"of":[16,23,46,59,71,91,111,127,137,145],"declarative":[17],"flow":[18,49,61,74,85,103,122,133],"functions":[19,62,75,86,104,123,134],"that":[20],"propagate":[21],"instances":[22],"user-defined":[24],"dataflow":[25,29,93],"fact":[26,30,94,106,128],"schemas.":[27,95,129],"Each":[28],"schema":[31],"specifies":[32],"semantic":[34,64,79],"meaning,":[35],"which":[36],"allows":[37],"system":[40],"to":[41,120],"automatically":[42,82,131],"verify":[43],"correctness":[45,70],"user's":[48],"functions.":[50],"In":[51],"this":[52,118],"work,":[53],"we":[54,81],"have":[55,97,116],"reversed":[56],"roles":[58],"meanings:":[65],"rather":[66],"than":[67],"checking":[68],"user-written":[73],"using":[76],"facts'":[78],"meanings,":[80],"infer":[83,121],"correct":[84],"solely":[87],"from":[88,105],"meanings":[90],"We":[96],"implemented":[98],"our":[99],"algorithm":[100],"inferring":[102],"schemas":[107],"context":[110],"Whirlwind":[113],"compiler,":[114],"used":[117],"implementation":[119],"variety":[126],"The":[130],"generated":[132],"cover":[135],"most":[136],"situations":[139],"covered":[140],"by":[141],"an":[142],"earlier":[143],"suite":[144],"handwritten":[146],"rules.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
