{"id":"https://openalex.org/W2865298191","doi":"https://doi.org/10.1145/3213846.3213874","title":"PerfFuzz: automatically generating pathological inputs","display_name":"PerfFuzz: automatically generating pathological inputs","publication_year":2018,"publication_date":"2018-07-12","ids":{"openalex":"https://openalex.org/W2865298191","doi":"https://doi.org/10.1145/3213846.3213874","mag":"2865298191"},"language":"en","primary_location":{"id":"doi:10.1145/3213846.3213874","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3213846.3213874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis","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/A5069023395","display_name":"Caroline Lemieux","orcid":"https://orcid.org/0000-0002-9610-8520"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Caroline Lemieux","raw_affiliation_strings":["University of California at Berkeley, USA"],"affiliations":[{"raw_affiliation_string":"University of California at Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077787726","display_name":"Rohan Padhye","orcid":"https://orcid.org/0000-0003-4939-033X"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rohan Padhye","raw_affiliation_strings":["University of California at Berkeley, USA"],"affiliations":[{"raw_affiliation_string":"University of California at Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101569699","display_name":"Koushik Sen","orcid":"https://orcid.org/0000-0002-4539-9188"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Koushik Sen","raw_affiliation_strings":["University of California at Berkeley, USA"],"affiliations":[{"raw_affiliation_string":"University of California at Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019426968","display_name":"Dawn Song","orcid":"https://orcid.org/0000-0001-9745-6802"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dawn Song","raw_affiliation_strings":["University of California at Berkeley, USA"],"affiliations":[{"raw_affiliation_string":"University of California at Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069023395"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":22.647,"has_fulltext":false,"cited_by_count":150,"citation_normalized_percentile":{"value":0.99538986,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"254","last_page":"265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","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/T10743","display_name":"Software Testing and Debugging Techniques","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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9997000098228455,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/fuzz-testing","display_name":"Fuzz testing","score":0.9509246349334717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.836715817451477},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.6431297063827515},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.45276087522506714},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.44922226667404175},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43776223063468933},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.41913869976997375},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3632892370223999},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33094024658203125},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2028210163116455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11206433176994324}],"concepts":[{"id":"https://openalex.org/C111065885","wikidata":"https://www.wikidata.org/wiki/Q1189053","display_name":"Fuzz testing","level":3,"score":0.9509246349334717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.836715817451477},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.6431297063827515},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.45276087522506714},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.44922226667404175},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43776223063468933},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.41913869976997375},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3632892370223999},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33094024658203125},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2028210163116455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11206433176994324},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3213846.3213874","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3213846.3213874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G5302100214","display_name":null,"funder_award_id":"FA8750-15-2-0104","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G6682448843","display_name":null,"funder_award_id":"CCF-1409872, CCF-1423645, TWC-1409915","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W150374354","https://openalex.org/W208073541","https://openalex.org/W1507495123","https://openalex.org/W1514171102","https://openalex.org/W1531203382","https://openalex.org/W1546956568","https://openalex.org/W1563402047","https://openalex.org/W1710734607","https://openalex.org/W1965194038","https://openalex.org/W1965341318","https://openalex.org/W1970005004","https://openalex.org/W1971650562","https://openalex.org/W2009489720","https://openalex.org/W2029500775","https://openalex.org/W2052172035","https://openalex.org/W2065948900","https://openalex.org/W2074770709","https://openalex.org/W2076285066","https://openalex.org/W2076880263","https://openalex.org/W2092382400","https://openalex.org/W2096449544","https://openalex.org/W2098456636","https://openalex.org/W2101134669","https://openalex.org/W2107484131","https://openalex.org/W2107588378","https://openalex.org/W2107729695","https://openalex.org/W2108748002","https://openalex.org/W2110311336","https://openalex.org/W2112582249","https://openalex.org/W2114054012","https://openalex.org/W2128985333","https://openalex.org/W2137351629","https://openalex.org/W2142815741","https://openalex.org/W2144433126","https://openalex.org/W2145458045","https://openalex.org/W2146136779","https://openalex.org/W2150990339","https://openalex.org/W2153400751","https://openalex.org/W2155469896","https://openalex.org/W2157662360","https://openalex.org/W2159586681","https://openalex.org/W2162717942","https://openalex.org/W2162969618","https://openalex.org/W2163661306","https://openalex.org/W2171469152","https://openalex.org/W2293085049","https://openalex.org/W2391251187","https://openalex.org/W2394587280","https://openalex.org/W2408546513","https://openalex.org/W2613534458","https://openalex.org/W2619742609","https://openalex.org/W2752340395","https://openalex.org/W2790950543","https://openalex.org/W3106010854","https://openalex.org/W3147851186","https://openalex.org/W4237492309","https://openalex.org/W4238083723","https://openalex.org/W4256386389"],"related_works":["https://openalex.org/W2511770387","https://openalex.org/W3120811337","https://openalex.org/W3203597304","https://openalex.org/W4385301282","https://openalex.org/W2990186179","https://openalex.org/W4248424560","https://openalex.org/W3023977444","https://openalex.org/W4210660460","https://openalex.org/W4288084466","https://openalex.org/W2374436537"],"abstract_inverted_index":{"Performance":[0],"problems":[1,27],"in":[2,39,116,170,197],"software":[3],"can":[4],"arise":[5],"unexpectedly":[6],"when":[7],"programs":[8,167],"are":[9],"provided":[10],"with":[11,123],"inputs":[12,38,51,65,110,122,142,183],"that":[13,52,73,111,143,176,184],"exhibit":[14],"worst-case":[15],"behavior.":[16],"A":[17],"large":[18],"body":[19],"of":[20,109,153],"work":[21,180],"has":[22],"focused":[23],"on":[24,151,163],"diagnosing":[25],"such":[26,81],"via":[28,66],"statistical":[29],"profiling":[30],"techniques.":[31],"But":[32],"how":[33],"does":[34],"one":[35],"find":[36,106,175],"these":[37],"the":[40,83,171,186],"first":[41],"place?":[42],"We":[43,148,174],"present":[44],"PerfFuzz,":[45],"a":[46,78,107,117,155],"method":[47],"to":[48,75,104,191,199],"automatically":[49],"generate":[50,121],"exercise":[53,112,185],"pathological":[54],"behavior":[55],"across":[56],"program":[57,99,118,188],"locations,":[58],"without":[59],"any":[60],"domain":[61],"knowledge.":[62],"PerfFuzz":[63,88,103,136,150,162,177],"generates":[64],"feedback-directed":[67],"mutational":[68],"fuzzing.":[69],"Unlike":[70],"previous":[71,130],"approaches":[72,131],"attempt":[74],"maximize":[76],"only":[77],"scalar":[79],"characteristic":[80],"as":[82],"total":[84,125,202],"execution":[85,95,126,203],"path":[86,127],"length,":[87],"uses":[89],"multi-dimensional":[90],"feedback":[91],"and":[92,119,160,195],"independently":[93],"maximizes":[94],"counts":[96],"for":[97],"all":[98],"locations.":[100],"This":[101],"enables":[102],"(1)":[105],"variety":[108],"distinct":[113],"hot":[114],"spots":[115],"(2)":[120],"higher":[124],"length":[128],"than":[129],"by":[132,181],"escaping":[133],"local":[134],"maxima.":[135],"is":[137],"also":[138],"effective":[139],"at":[140],"generating":[141,182],"demonstrate":[144],"algorithmic":[145],"complexity":[146],"vulnerabilities.":[147],"implement":[149],"top":[152],"AFL,":[154],"popular":[156],"coverage-guided":[157],"fuzzing":[158,172],"tool,":[159],"evaluate":[161],"four":[164],"real-world":[165],"C":[166],"typically":[168],"used":[169],"literature.":[173],"outperforms":[178],"prior":[179],"most-hit":[187],"branch":[189],"5x":[190],"69x":[192],"times":[193],"more,":[194],"result":[196],"1.9x":[198],"24.7x":[200],"longer":[201],"paths.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":32},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}
