{"id":"https://openalex.org/W2012477604","doi":"https://doi.org/10.1145/2635868.2635899","title":"Statistical symbolic execution with informed sampling","display_name":"Statistical symbolic execution with informed sampling","publication_year":2014,"publication_date":"2014-11-04","ids":{"openalex":"https://openalex.org/W2012477604","doi":"https://doi.org/10.1145/2635868.2635899","mag":"2012477604"},"language":"en","primary_location":{"id":"doi:10.1145/2635868.2635899","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2635868.2635899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering","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/A5083739081","display_name":"Antonio Filieri","orcid":"https://orcid.org/0000-0001-9646-646X"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Antonio Filieri","raw_affiliation_strings":["University of Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053134485","display_name":"Corina S. P\u0103s\u0103reanu","orcid":"https://orcid.org/0000-0002-5579-6961"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]},{"id":"https://openalex.org/I1280536761","display_name":"Ames Research Center","ror":"https://ror.org/02acart68","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280536761","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Corina S. P\u0103s\u0103reanu","raw_affiliation_strings":["Carnegie Mellon University, USA / NASA Ames Research Center, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA / NASA Ames Research Center, USA","institution_ids":["https://openalex.org/I1280536761","https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088454541","display_name":"Willem Visser","orcid":"https://orcid.org/0000-0002-0913-3091"},"institutions":[{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Willem Visser","raw_affiliation_strings":["Stellenbosch University, South Africa"],"affiliations":[{"raw_affiliation_string":"Stellenbosch University, South Africa","institution_ids":["https://openalex.org/I26092322"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050494871","display_name":"Jaco Geldenhuys","orcid":"https://orcid.org/0000-0002-5636-6656"},"institutions":[{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Jaco Geldenhuys","raw_affiliation_strings":["Stellenbosch University, South Africa"],"affiliations":[{"raw_affiliation_string":"Stellenbosch University, South Africa","institution_ids":["https://openalex.org/I26092322"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083739081"],"corresponding_institution_ids":["https://openalex.org/I100066346"],"apc_list":null,"apc_paid":null,"fwci":4.8044,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.94636015,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"437","last_page":"448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8072159290313721},{"id":"https://openalex.org/keywords/symbolic-execution","display_name":"Symbolic execution","score":0.711296796798706},{"id":"https://openalex.org/keywords/symbolic-trajectory-evaluation","display_name":"Symbolic trajectory evaluation","score":0.6848266124725342},{"id":"https://openalex.org/keywords/concolic-testing","display_name":"Concolic testing","score":0.6759400963783264},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.53041011095047},{"id":"https://openalex.org/keywords/symbolic-data-analysis","display_name":"Symbolic data analysis","score":0.5246363282203674},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5044952630996704},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5042349100112915},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.49372968077659607},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4425179362297058},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32299959659576416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.237010657787323},{"id":"https://openalex.org/keywords/model-checking","display_name":"Model checking","score":0.23180490732192993},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.17196124792099},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12654760479927063},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.09286785125732422}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8072159290313721},{"id":"https://openalex.org/C2779639559","wikidata":"https://www.wikidata.org/wiki/Q7661178","display_name":"Symbolic execution","level":3,"score":0.711296796798706},{"id":"https://openalex.org/C23123167","wikidata":"https://www.wikidata.org/wiki/Q7661193","display_name":"Symbolic trajectory evaluation","level":3,"score":0.6848266124725342},{"id":"https://openalex.org/C11219265","wikidata":"https://www.wikidata.org/wiki/Q5158734","display_name":"Concolic testing","level":4,"score":0.6759400963783264},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.53041011095047},{"id":"https://openalex.org/C65620979","wikidata":"https://www.wikidata.org/wiki/Q7661176","display_name":"Symbolic data analysis","level":2,"score":0.5246363282203674},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5044952630996704},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5042349100112915},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.49372968077659607},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4425179362297058},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32299959659576416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.237010657787323},{"id":"https://openalex.org/C110251889","wikidata":"https://www.wikidata.org/wiki/Q1569697","display_name":"Model checking","level":2,"score":0.23180490732192993},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.17196124792099},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12654760479927063},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.09286785125732422},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2635868.2635899","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2635868.2635899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:casi.ntrs.nasa.gov:20150007884","is_oa":false,"landing_page_url":"http://hdl.handle.net/2060/20150007884","pdf_url":null,"source":{"id":"https://openalex.org/S4377196257","display_name":"NASA STI Repository (National Aeronautics and Space Administration)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210124779","host_organization_name":"National Aeronautics and Space Administration","host_organization_lineage":["https://openalex.org/I4210124779"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CASI","raw_type":"ARC-E-DAA-TN15697"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/33310","is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/33310","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W8142894","https://openalex.org/W130710483","https://openalex.org/W137740833","https://openalex.org/W155204799","https://openalex.org/W1489725951","https://openalex.org/W1502028038","https://openalex.org/W1533572394","https://openalex.org/W1544634046","https://openalex.org/W1598928703","https://openalex.org/W1850679117","https://openalex.org/W1862398452","https://openalex.org/W1985093013","https://openalex.org/W1989703131","https://openalex.org/W1992105245","https://openalex.org/W2000280333","https://openalex.org/W2001452086","https://openalex.org/W2007072455","https://openalex.org/W2020689607","https://openalex.org/W2028622255","https://openalex.org/W2033084216","https://openalex.org/W2045656233","https://openalex.org/W2048025009","https://openalex.org/W2060573639","https://openalex.org/W2078988604","https://openalex.org/W2101512909","https://openalex.org/W2103012681","https://openalex.org/W2109892325","https://openalex.org/W2130514924","https://openalex.org/W2155049725","https://openalex.org/W2162120832","https://openalex.org/W2163499368","https://openalex.org/W2164895118","https://openalex.org/W2167770337","https://openalex.org/W2168798915","https://openalex.org/W3020204246","https://openalex.org/W3123857276","https://openalex.org/W4230704549","https://openalex.org/W4233413206","https://openalex.org/W4248681815","https://openalex.org/W6618465707"],"related_works":["https://openalex.org/W2101264565","https://openalex.org/W3141167149","https://openalex.org/W2044213223","https://openalex.org/W345638404","https://openalex.org/W4254035807","https://openalex.org/W2514597554","https://openalex.org/W4245197793","https://openalex.org/W3170793698","https://openalex.org/W3026405340","https://openalex.org/W1439634531"],"abstract_inverted_index":{"Symbolic":[0,160],"execution":[1,52,101,121,154,200],"techniques":[2,14],"have":[3,30,35,108,150],"been":[4],"proposed":[5],"recently":[6],"for":[7,69,136],"the":[8,18,60,66,78,82,88,91,105,115,120,137,146,159,167,194,209],"probabilistic":[9],"analysis":[10,135,181],"of":[11,20,24,59,80,90,145],"programs.":[12],"These":[13],"seek":[15],"to":[16,39,77,141],"quantify":[17],"likelihood":[19],"reaching":[21,81],"program":[22,62],"events":[23],"interest,":[25],"e.g.,":[26],"assert":[27],"violations.":[28],"They":[29],"many":[31],"promising":[32],"applications":[33],"but":[34],"scalability":[36],"issues":[37],"due":[38],"high":[40,109],"computational":[41],"demand.":[42],"To":[43,85],"address":[44],"this":[45],"challenge,":[46],"we":[47,94],"propose":[48,95],"a":[49,132,178],"statistical":[50,92,110,147,152,180],"symbolic":[51,61,100,153,191,199],"technique":[53,127],"that":[54,102,107,166],"performs":[55],"Monte":[56],"Carlo":[57],"sampling":[58,157,169,203],"paths":[63,106,139],"and":[64,72,118,174,182,212],"uses":[65],"obtained":[67],"information":[68],"Bayesian":[70,129],"estimation":[71,130],"hypothesis":[73],"testing":[74],"with":[75,131,155,201],"respect":[76],"probability":[79],"target":[83],"events.":[84],"speed":[86],"up":[87],"convergence":[89,144],"analysis,":[93],"Informed":[96],"Sampling,":[97],"an":[98,189],"iterative":[99],"first":[103],"explores":[104],"significance,":[111],"prunes":[112],"them":[113],"from":[114],"state":[116],"space":[117],"guides":[119],"towards":[122],"less":[123],"likely":[124],"paths.":[125],"The":[126],"combines":[128],"partial":[133],"exact":[134,190],"pruned":[138],"leading":[140],"provably":[142],"improved":[143],"analysis.":[148,192],"We":[149,163],"implemented":[151],"informed":[156,168,202],"in":[158],"PathFinder":[161],"tool.":[162],"show":[164],"experimentally":[165],"obtains":[170],"more":[171,186],"precise":[172],"results":[173,207],"converges":[175],"faster":[176],"than":[177,188],"purely":[179],"may":[183],"also":[184],"be":[185],"efficient":[187],"When":[193],"latter":[195],"does":[196],"not":[197],"terminate":[198],"can":[204],"give":[205],"meaningful":[206],"under":[208],"same":[210],"time":[211],"memory":[213],"limits.":[214]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}