{"id":"https://openalex.org/W4312635300","doi":"https://doi.org/10.1145/3524842.3527951","title":"FaST","display_name":"FaST","publication_year":2022,"publication_date":"2022-05-23","ids":{"openalex":"https://openalex.org/W4312635300","doi":"https://doi.org/10.1145/3524842.3527951"},"language":"en","primary_location":{"id":"doi:10.1145/3524842.3527951","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524842.3527951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Conference on Mining Software Repositories","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/A5048718901","display_name":"Irving Muller Rodrigues","orcid":"https://orcid.org/0000-0001-5478-4099"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Irving Muller Rodrigues","raw_affiliation_strings":["Polytechnique Montreal, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Polytechnique Montreal, Montreal, Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038720756","display_name":"Daniel Aloise","orcid":"https://orcid.org/0000-0002-9876-2921"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Daniel Aloise","raw_affiliation_strings":["Polytechnique Montreal, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Polytechnique Montreal, Montreal, Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055326852","display_name":"Eraldo Rezende Fernandes","orcid":"https://orcid.org/0000-0002-7039-2447"},"institutions":[{"id":"https://openalex.org/I113456305","display_name":"Leuphana University of L\u00fcneburg","ror":"https://ror.org/02w2y2t16","country_code":"DE","type":"education","lineage":["https://openalex.org/I113456305"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Eraldo Rezende Fernandes","raw_affiliation_strings":["Leuphana University of L\u00fcneburg, L\u00fcneburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leuphana University of L\u00fcneburg, L\u00fcneburg, Germany","institution_ids":["https://openalex.org/I113456305"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5493,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.91678914,"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":"549","last_page":"560"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8483214378356934},{"id":"https://openalex.org/keywords/data-deduplication","display_name":"Data deduplication","score":0.7084351778030396},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.6397841572761536},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5527070760726929},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5458283424377441},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5060300230979919},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4875034987926483},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.47114959359169006},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.44660714268684387},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4155682921409607},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.41327735781669617},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4129483103752136},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.271589457988739},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.24787575006484985},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24409490823745728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20562905073165894},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1751900017261505},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13712400197982788}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8483214378356934},{"id":"https://openalex.org/C32587265","wikidata":"https://www.wikidata.org/wiki/Q1182260","display_name":"Data deduplication","level":2,"score":0.7084351778030396},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.6397841572761536},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5527070760726929},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5458283424377441},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5060300230979919},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4875034987926483},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.47114959359169006},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.44660714268684387},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4155682921409607},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.41327735781669617},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4129483103752136},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.271589457988739},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.24787575006484985},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24409490823745728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20562905073165894},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1751900017261505},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13712400197982788},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3524842.3527951","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524842.3527951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Conference on Mining Software Repositories","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.leuphana.de:openaire_cris_publications/09be0d21-a295-45ae-af7d-d56dff26239d","is_oa":false,"landing_page_url":"http://fis.leuphana.de/de/publications/fast-a-linear-time-stack-trace-alignment-heuristic-for-crash-report-deduplication(09be0d21-a295-45ae-af7d-d56dff26239d).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400489","display_name":"Multilingual Matters (Channel View Publications)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Rodrigues, I M, Aloise, D & Fernandes, E R 2022, FaST: A linear time stack trace alignment heuristic for crash report deduplication. in The 2022 Mining Software Repositories Conference : MSR 2022, Proceedings; 18-20 May 2022, Virtual; 23-24 May 2022, Pittsburgh, Pennsylvania. Proceedings - IEEE/ACM International Conference on Mining Software Repositories , Institute of Electrical and Electronics Engineers Inc., New York, pp. 549-560, 19th International Conference on Mining Software Repositories - MSR 2022, Pittsburgh, Pennsylvania, United States, 23.05.22. https://doi.org/10.1145/3524842.3527951","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:publications.polymtl.ca:51425","is_oa":false,"landing_page_url":"https://publications.polymtl.ca/51425/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1532325895","https://openalex.org/W1967936510","https://openalex.org/W1977618577","https://openalex.org/W2053158571","https://openalex.org/W2074231493","https://openalex.org/W2096598529","https://openalex.org/W2107316307","https://openalex.org/W2127176799","https://openalex.org/W2145680370","https://openalex.org/W2157825442","https://openalex.org/W2169597130","https://openalex.org/W2173213060","https://openalex.org/W2258726425","https://openalex.org/W2742191951","https://openalex.org/W2744940432","https://openalex.org/W2757935660","https://openalex.org/W3175232686","https://openalex.org/W4214741785"],"related_works":["https://openalex.org/W2884105280","https://openalex.org/W2765358348","https://openalex.org/W2766145069","https://openalex.org/W2977986694","https://openalex.org/W3003602898","https://openalex.org/W2515214618","https://openalex.org/W3033545316","https://openalex.org/W2033210364","https://openalex.org/W1977211081","https://openalex.org/W2772790565"],"abstract_inverted_index":{"In":[0,71,88],"software":[1],"projects,":[2],"applications":[3],"are":[4,45],"often":[5],"monitored":[6],"by":[7,61,81,124],"systems":[8,28,64],"that":[9,102,165],"automatically":[10],"identify":[11],"crashes,":[12],"collect":[13],"their":[14],"information":[15],"into":[16],"reports,":[17],"and":[18,134,146],"submit":[19],"them":[20,44],"to":[21,30,48,90],"developers.":[22],"Especially":[23],"in":[24,38,53,111,120],"popular":[25],"applications,":[26],"such":[27],"tend":[29],"generate":[31],"a":[32,40,68,97,127],"large":[33],"number":[34],"of":[35,43,126],"crash":[36,56],"reports":[37],"which":[39],"significant":[41],"portion":[42],"duplicate.":[46],"Due":[47],"this":[49,72],"high":[50],"submission":[51],"volume,":[52],"practice,":[54],"the":[55,84,91,104],"report":[57],"deduplication":[58,78],"is":[59,67,167],"supported":[60],"devising":[62],"automatic":[63],"whose":[65],"efficiency":[66],"critical":[69],"constraint.":[70],"paper,":[73],"we":[74,94],"focus":[75],"on":[76,138,174],"improving":[77],"system":[79],"throughput":[80],"speeding":[82],"up":[83],"stack":[85,109,122],"trace":[86],"comparison.":[87],"contrast":[89],"state-of-the-art":[92,155],"techniques,":[93],"propose":[95],"FaST,":[96],"novel":[98],"sequence":[99,176],"alignment":[100,129],"method":[101,115],"computes":[103],"similarity":[105],"score":[106],"between":[107],"two":[108,121],"traces":[110,123],"linear":[112],"time.":[113],"Our":[114],"independently":[116],"aligns":[117],"identical":[118],"frames":[119],"means":[125],"simple":[128],"heuristic.":[130],"We":[131],"evaluate":[132],"FaST":[133,152,166],"five":[135],"competing":[136],"methods":[137,172],"four":[139],"datasets":[140],"from":[141],"open-source":[142],"projects":[143],"using":[144],"ranking":[145],"binary":[147],"metrics.":[148],"Despite":[149],"its":[150],"simplicity,":[151],"consistently":[153],"achieves":[154],"performance":[156],"regarding":[157],"all":[158],"metrics":[159],"considered.":[160],"Moreover,":[161],"our":[162],"experiments":[163],"confirm":[164],"substantially":[168],"more":[169],"efficient":[170],"than":[171],"based":[173],"optimal":[175],"alignment.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2023-01-05T00:00:00"}