{"id":"https://openalex.org/W4403537114","doi":"https://doi.org/10.1145/3691620.3695487","title":"Parf: Adaptive Parameter Refining for Abstract Interpretation","display_name":"Parf: Adaptive Parameter Refining for Abstract Interpretation","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4403537114","doi":"https://doi.org/10.1145/3691620.3695487"},"language":"en","primary_location":{"id":"doi:10.1145/3691620.3695487","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3691620.3695487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th IEEE/ACM International Conference on Automated 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/A5082308334","display_name":"Z Y Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongyi Wang","raw_affiliation_strings":["Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113874723","display_name":"Linyu Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linyu Yang","raw_affiliation_strings":["Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043436285","display_name":"Mingshuai Chen","orcid":"https://orcid.org/0000-0001-9663-7441"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingshuai Chen","raw_affiliation_strings":["Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114320581","display_name":"Yixuan Bu","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixuan Bu","raw_affiliation_strings":["Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102724155","display_name":"Zhiyang Li","orcid":"https://orcid.org/0009-0000-5632-9479"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyang Li","raw_affiliation_strings":["Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058964600","display_name":"Qiuye Wang","orcid":"https://orcid.org/0000-0001-5138-3273"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuye Wang","raw_affiliation_strings":["Fermat Labs, Huawei Inc., Dongguan, China"],"affiliations":[{"raw_affiliation_string":"Fermat Labs, Huawei Inc., Dongguan, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042013137","display_name":"Shengchao Qin","orcid":"https://orcid.org/0000-0003-3028-8191"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengchao Qin","raw_affiliation_strings":["Xidian University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025092695","display_name":"Xiao Yi","orcid":"https://orcid.org/0000-0002-4792-4433"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Yi","raw_affiliation_strings":["Fermat Labs, Huawei Inc., Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Fermat Labs, Huawei Inc., Hong Kong, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069353502","display_name":"Jianwei Yin","orcid":"https://orcid.org/0000-0003-4703-7348"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Yin","raw_affiliation_strings":["Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5082308334"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.3862,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68243596,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1082","last_page":"1093"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9905999898910522,"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":0.9905999898910522,"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":0.9866999983787537,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9851999878883362,"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/refining","display_name":"Refining (metallurgy)","score":0.8351334929466248},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.7149012088775635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6307635307312012},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10682302713394165},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08483955264091492}],"concepts":[{"id":"https://openalex.org/C60044698","wikidata":"https://www.wikidata.org/wiki/Q1283324","display_name":"Refining (metallurgy)","level":2,"score":0.8351334929466248},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.7149012088775635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6307635307312012},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10682302713394165},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08483955264091492},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3691620.3695487","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3691620.3695487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1993255342","https://openalex.org/W2043100293","https://openalex.org/W2139032973","https://openalex.org/W2522826901","https://openalex.org/W2570373436","https://openalex.org/W2954738632","https://openalex.org/W2970836712","https://openalex.org/W3045575840","https://openalex.org/W3194969426","https://openalex.org/W3199199693","https://openalex.org/W4225751037","https://openalex.org/W4249048789","https://openalex.org/W4283331987","https://openalex.org/W4284692434","https://openalex.org/W4284714211","https://openalex.org/W4286970057","https://openalex.org/W4387885469","https://openalex.org/W4396214226","https://openalex.org/W4396214265","https://openalex.org/W4403618995"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W1595345252","https://openalex.org/W2392526918","https://openalex.org/W2362540361","https://openalex.org/W2019560916","https://openalex.org/W2361983698","https://openalex.org/W2347697528","https://openalex.org/W2354123794"],"abstract_inverted_index":{"Abstract":[0],"interpretation":[1,19],"is":[2,61],"a":[3,31,71,125,133],"key":[4],"formal":[5],"method":[6],"for":[7,151,203],"the":[8,22,53,80,108,159,168,178],"static":[9,38,86,149],"analysis":[10,27,39,50],"of":[11,24,34,37,83,92,127,143,181],"programs.":[12,208],"The":[13],"core":[14],"challenge":[15],"in":[16,21],"applying":[17],"abstract":[18,84],"lies":[20],"configuration":[23],"abstraction":[25],"and":[26,60,120,155,163],"strategies":[28],"encoded":[29],"by":[30,117],"large":[32],"number":[33,180],"external":[35,81],"parameters":[36,54,82,93],"tools.":[40],"To":[41],"attain":[42],"low":[43],"false-positive":[44],"rates":[45],"(i.e.,":[46],"accuracy)":[47],"while":[48],"preserving":[49],"efficiency,":[51],"tuning":[52],"heavily":[55],"relies":[56],"on":[57,112,141,184,193],"expert":[58,160],"knowledge":[59],"thus":[62],"difficult":[63],"to":[64,77,98],"automate.":[65],"In":[66,197],"this":[67],"paper,":[68],"we":[69],"present":[70],"fully":[72],"automated":[73],"framework":[74],"called":[75],"Parf":[76,88,140,176,199],"adaptively":[78],"tune":[79],"interpretation-based":[85],"analyzers.":[87],"models":[89],"various":[90],"types":[91],"as":[94],"random":[95],"variables":[96],"subject":[97],"probability":[99,109],"distributions":[100,110],"over":[101,167],"latticed":[102],"parameter":[103,130],"spaces.":[104],"It":[105],"incrementally":[106],"refines":[107],"based":[111],"accumulated":[113],"intermediate":[114],"results":[115,173,192],"generated":[116],"repeatedly":[118],"sampling":[119],"analyzing,":[121],"thereby":[122],"ultimately":[123],"yielding":[124],"set":[126],"highly":[128],"accurate":[129],"settings":[131],"within":[132],"given":[134],"time":[135],"budget.":[136],"We":[137],"have":[138],"implemented":[139],"top":[142],"Frama-C/Eva":[144],"-":[145,154],"an":[146],"off-the-shelf":[147],"open-source":[148],"analyzer":[150],"C":[152],"programs":[153],"compared":[156],"it":[157],"against":[158],"refinement":[161],"strategy":[162],"Frama-C/Eva's":[164],"official":[165],"configurations":[166],"Frama-C":[169],"OSCS":[170],"benchmark.":[171],"Experimental":[172],"indicate":[174],"that":[175],"achieves":[177],"lowest":[179],"false":[182],"positives":[183],"34/37":[185],"(91.9%)":[186],"program":[187],"repositories":[188],"with":[189],"exclusively":[190],"best":[191],"12/37":[194],"(32.4%)":[195],"cases.":[196],"particular,":[198],"exhibits":[200],"promising":[201],"performance":[202],"analyzing":[204],"complex,":[205],"large-scale":[206],"real-world":[207]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}