{"id":"https://openalex.org/W3022741815","doi":"https://doi.org/10.1145/3377811.3380435","title":"BCFA","display_name":"BCFA","publication_year":2020,"publication_date":"2020-06-27","ids":{"openalex":"https://openalex.org/W3022741815","doi":"https://doi.org/10.1145/3377811.3380435","mag":"3022741815"},"language":"en","primary_location":{"id":"doi:10.1145/3377811.3380435","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377811.3380435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2005.01000","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ramanathan Ramu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ramanathan Ramu","raw_affiliation_strings":["Microsoft"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ganesha B Upadhyaya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ganesha B Upadhyaya","raw_affiliation_strings":["Harmony"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harmony","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hoan Anh Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089985","display_name":"Amazon (Germany)","ror":"https://ror.org/00b9ktm87","country_code":"DE","type":"company","lineage":["https://openalex.org/I1311688040","https://openalex.org/I4210089985"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hoan Anh Nguyen","raw_affiliation_strings":["Amazon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon","institution_ids":["https://openalex.org/I4210089985"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hridesh Rajan","orcid":null},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hridesh Rajan","raw_affiliation_strings":["Iowa State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iowa State University","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4545,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57300121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1037","last_page":"1048"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9976999759674072,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/tree-traversal","display_name":"Tree traversal","score":0.9052000045776367},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.7752000093460083},{"id":"https://openalex.org/keywords/control-flow","display_name":"Control flow","score":0.691100001335144},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.490200012922287},{"id":"https://openalex.org/keywords/gridlock","display_name":"Gridlock","score":0.47049999237060547},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.45179998874664307},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4357999861240387},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4239000082015991}],"concepts":[{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.9052000045776367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7777000069618225},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.7752000093460083},{"id":"https://openalex.org/C160191386","wikidata":"https://www.wikidata.org/wiki/Q868299","display_name":"Control flow","level":2,"score":0.691100001335144},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.490200012922287},{"id":"https://openalex.org/C2778558725","wikidata":"https://www.wikidata.org/wiki/Q8189896","display_name":"Gridlock","level":3,"score":0.47049999237060547},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.46070000529289246},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4551999866962433},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.45179998874664307},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44589999318122864},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4357999861240387},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4239000082015991},{"id":"https://openalex.org/C27458966","wikidata":"https://www.wikidata.org/wiki/Q1187693","display_name":"Control flow graph","level":2,"score":0.3962000012397766},{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.3952000141143799},{"id":"https://openalex.org/C96333769","wikidata":"https://www.wikidata.org/wiki/Q907955","display_name":"Graph traversal","level":3,"score":0.37529999017715454},{"id":"https://openalex.org/C98183937","wikidata":"https://www.wikidata.org/wiki/Q2112188","display_name":"Program analysis","level":2,"score":0.3693000078201294},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.35429999232292175},{"id":"https://openalex.org/C44210515","wikidata":"https://www.wikidata.org/wiki/Q16968978","display_name":"Bespoke","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30799999833106995},{"id":"https://openalex.org/C88468194","wikidata":"https://www.wikidata.org/wiki/Q1172416","display_name":"Data-flow analysis","level":3,"score":0.3059999942779541},{"id":"https://openalex.org/C51929080","wikidata":"https://www.wikidata.org/wiki/Q2425187","display_name":"Codebase","level":3,"score":0.30550000071525574},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C199519371","wikidata":"https://www.wikidata.org/wiki/Q942695","display_name":"Source lines of code","level":3,"score":0.28369998931884766},{"id":"https://openalex.org/C2778572240","wikidata":"https://www.wikidata.org/wiki/Q1010057","display_name":"Chestnut blight","level":3,"score":0.26840001344680786},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3377811.3380435","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377811.3380435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2005.01000","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.01000","pdf_url":"https://arxiv.org/pdf/2005.01000","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2005.01000","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.01000","pdf_url":"https://arxiv.org/pdf/2005.01000","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5004090459","display_name":null,"funder_award_id":"1934884,1518897","funder_id":"https://openalex.org/F4320309856","funder_display_name":"National Youth Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320309856","display_name":"National Youth Science Foundation","ror":"https://ror.org/054yz2f06"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W821933395","https://openalex.org/W1891117775","https://openalex.org/W1977971855","https://openalex.org/W1987615754","https://openalex.org/W1990888989","https://openalex.org/W1992114977","https://openalex.org/W2043811931","https://openalex.org/W2083878525","https://openalex.org/W2098645109","https://openalex.org/W2102890180","https://openalex.org/W2104329103","https://openalex.org/W2107376583","https://openalex.org/W2121818394","https://openalex.org/W2124153277","https://openalex.org/W2125343911","https://openalex.org/W2131954495","https://openalex.org/W2144685853","https://openalex.org/W2156841542","https://openalex.org/W2166091242","https://openalex.org/W2170616854","https://openalex.org/W2171471938","https://openalex.org/W2661892562","https://openalex.org/W2753750754","https://openalex.org/W2794492582","https://openalex.org/W2794992746","https://openalex.org/W2899242536","https://openalex.org/W2953583529","https://openalex.org/W4229858407"],"related_works":[],"abstract_inverted_index":{"Many":[0],"data-driven":[1],"software":[2],"engineering":[3],"tasks":[4],"such":[5,122],"as":[6,123],"discovering":[7],"programming":[8],"patterns,":[9],"mining":[10],"API":[11],"specifications,":[12],"etc.,":[13],"perform":[14],"source":[15],"code":[16,110],"analysis":[17,36,46,74,80],"over":[18],"control":[19,72,78],"flow":[20,73,79],"graphs":[21],"(CFGs)":[22],"at":[23],"scale.":[24],"Analyzing":[25],"millions":[26],"of":[27,34,65,86,102,104,111,119,146],"CFGs":[28,68,154],"can":[29,171],"be":[30],"expensive":[31],"and":[32,67,69,82,114,126,140,155,162,187],"performance":[33],"the":[35,40,90,105,109,112,120,130,173],"heavily":[37],"depends":[38],"on":[39],"underlying":[41],"CFG":[42],"traversal":[43,51,58,93,132],"strategy.":[44,52,133],"State-of-the-art":[45],"frameworks":[47],"use":[48],"a":[49,56,77,83,100,144],"fixed":[50],"We":[53,134],"argue":[54],"that":[55,150,169],"single":[57],"strategy":[59,94],"does":[60],"not":[61],"fit":[62],"all":[63],"kinds":[64],"analyses":[66,149,176],"propose":[70],"bespoke":[71],"(BCFA).":[75],"Given":[76],"(CFA)":[81],"large":[84,157,174],"number":[85],"CFGs,":[87],"BCFA":[88,98,137,142,170,180],"selects":[89],"most":[91],"efficient":[92],"for":[95,128],"each":[96],"CFG.":[97],"extracts":[99],"set":[101,145],"properties":[103,118],"CFA":[106,113],"by":[107,177],"analyzing":[108],"combines":[115],"it":[116],"with":[117],"CFG,":[121],"branching":[124],"factor":[125],"cyclicity,":[127],"selecting":[129],"optimal":[131],"have":[135],"implemented":[136],"in":[138],"Boa,":[139],"evaluated":[141],"using":[143],"representative":[147],"static":[148],"mainly":[151],"involve":[152],"traversing":[153],"two":[156],"datasets":[158],"containing":[159],"287":[160],"thousand":[161],"162":[163],"million":[164],"CFGs.":[165],"Our":[166],"results":[167],"show":[168],"speedup":[172],"scale":[175],"1%-28%.":[178],"Further,":[179],"has":[181],"low":[182,188],"overheads;":[183],"less":[184,191],"than":[185,192],"0.2%,":[186],"misprediction":[189],"rate;":[190],"0.01%.":[193]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2020-05-13T00:00:00"}