{"id":"https://openalex.org/W2061742702","doi":"https://doi.org/10.1145/2393596.2393607","title":"AUSUM","display_name":"AUSUM","publication_year":2012,"publication_date":"2012-11-11","ids":{"openalex":"https://openalex.org/W2061742702","doi":"https://doi.org/10.1145/2393596.2393607","mag":"2061742702"},"language":"en","primary_location":{"id":"doi:10.1145/2393596.2393607","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393596.2393607","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 SIGSOFT 20th International Symposium on the Foundations of Software Engineering","raw_type":"proceedings-article"},"type":"conference-paper","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/A5065047775","display_name":"Senthil Mani","orcid":"https://orcid.org/0000-0002-9624-2623"},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Senthil Mani","raw_affiliation_strings":["IBM Research - India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080107260","display_name":"Rose Catherine","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rose Catherine","raw_affiliation_strings":["IBM Research - India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031880575","display_name":"Vibha Singhal Sinha","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vibha Singhal Sinha","raw_affiliation_strings":["IBM Research - India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047098924","display_name":"Avinava Dubey","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Avinava Dubey","raw_affiliation_strings":["IBM Research - India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - India","institution_ids":["https://openalex.org/I4210103279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210103279"],"apc_list":null,"apc_paid":null,"fwci":6.2402,"has_fulltext":false,"cited_by_count":110,"citation_normalized_percentile":{"value":0.97135279,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":1.0,"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":1.0,"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/T10430","display_name":"Software Engineering Techniques and Practices","score":0.9976999759674072,"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":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.9700266122817993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8433419466018677},{"id":"https://openalex.org/keywords/software-bug","display_name":"Software bug","score":0.5893992781639099},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5860900282859802},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5684272646903992},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.532103419303894},{"id":"https://openalex.org/keywords/multi-document-summarization","display_name":"Multi-document summarization","score":0.4566745460033417},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4499552845954895},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4429725110530853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.439590185880661},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.428332656621933},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.414573609828949},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33926087617874146},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15957853198051453},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08132022619247437}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9700266122817993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8433419466018677},{"id":"https://openalex.org/C1009929","wikidata":"https://www.wikidata.org/wiki/Q179550","display_name":"Software bug","level":3,"score":0.5893992781639099},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5860900282859802},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5684272646903992},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.532103419303894},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.4566745460033417},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4499552845954895},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4429725110530853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.439590185880661},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.428332656621933},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.414573609828949},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33926087617874146},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15957853198051453},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08132022619247437},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2393596.2393607","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393596.2393607","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 SIGSOFT 20th International Symposium on the Foundations of Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W155995321","https://openalex.org/W1497212108","https://openalex.org/W1525595230","https://openalex.org/W1532325895","https://openalex.org/W1546477643","https://openalex.org/W1854214752","https://openalex.org/W1964079213","https://openalex.org/W1974339500","https://openalex.org/W1975879668","https://openalex.org/W1978078764","https://openalex.org/W1984849167","https://openalex.org/W1989335536","https://openalex.org/W1992802834","https://openalex.org/W2033839684","https://openalex.org/W2060097693","https://openalex.org/W2060141891","https://openalex.org/W2065354331","https://openalex.org/W2066350381","https://openalex.org/W2079317829","https://openalex.org/W2082160726","https://openalex.org/W2083305840","https://openalex.org/W2096184265","https://openalex.org/W2098283414","https://openalex.org/W2102269292","https://openalex.org/W2103404183","https://openalex.org/W2104895009","https://openalex.org/W2110374486","https://openalex.org/W2113850638","https://openalex.org/W2118881108","https://openalex.org/W2125336414","https://openalex.org/W2126184790","https://openalex.org/W2128672521","https://openalex.org/W2131528099","https://openalex.org/W2139410856","https://openalex.org/W2147406357","https://openalex.org/W2148374900","https://openalex.org/W2156833313","https://openalex.org/W2161427841","https://openalex.org/W2165022036","https://openalex.org/W2166879716","https://openalex.org/W2171733741","https://openalex.org/W2187055319","https://openalex.org/W2197919320","https://openalex.org/W2284840260","https://openalex.org/W2295562802","https://openalex.org/W2953285682","https://openalex.org/W3098800931","https://openalex.org/W3101913037","https://openalex.org/W3138773240","https://openalex.org/W3149154678","https://openalex.org/W4230624213","https://openalex.org/W4241947741"],"related_works":["https://openalex.org/W2104677027","https://openalex.org/W3164984162","https://openalex.org/W2902627734","https://openalex.org/W2112885393","https://openalex.org/W1990695371","https://openalex.org/W2173208124","https://openalex.org/W2568827738","https://openalex.org/W2099859325","https://openalex.org/W2365100044","https://openalex.org/W2474342320"],"abstract_inverted_index":{"In":[0,132,152],"most":[1],"software":[2],"projects,":[3],"resolved":[4,34],"bugs":[5,49,66],"are":[6,194],"archived":[7],"for":[8,29,107,165,206,241],"future":[9],"reference.":[10],"These":[11,110,188],"bug":[12,25,40,82,108,146,166,169,244],"reports":[13,83,147,170],"contain":[14,172],"valuable":[15],"information":[16],"on":[17,126,145,198],"the":[18,36,43,54,61,64,89,113,124,128,139,149,157,184,190,213,218,236],"reported":[19,137],"problem,":[20],"investigation":[21],"and":[22,120,143,226],"resolution.":[23],"When":[24],"triaging,":[26],"developers":[27],"look":[28,51],"how":[30],"similar":[31],"problems":[32],"were":[33],"in":[35,70],"past.":[37],"Search":[38],"over":[39,217],"repository":[41],"gives":[42],"developer":[44,55,94],"a":[45,73,93,173],"set":[46,119],"of":[47,63,75,81,91,115,159,176,186,215,235],"recommended":[48,65],"to":[50,58,77,87,97,196,211,222],"into.":[52],"However,":[53],"still":[56],"needs":[57],"manually":[59],"peruse":[60],"contents":[62],"which":[67,127,193,209],"might":[68,95],"vary":[69],"size":[71],"from":[72,148,183],"couple":[74],"lines":[76],"thousands.":[78],"Automatic":[79],"summarization":[80,163,216],"is":[84],"one":[85],"way":[86],"reduce":[88],"amount":[90,175],"data":[92,125],"need":[96],"go":[98],"through.":[99],"Prior":[100],"work":[101,197],"has":[102],"presented":[103],"learning":[104],"based":[105],"approaches":[106,111],"summarization.":[109,167,187],"have":[112],"disadvantage":[114],"requiring":[116],"large":[117,174,242],"training":[118],"being":[121],"biased":[122],"towards":[123],"model":[129,140],"was":[130,136,141],"learnt.":[131],"fact,":[133],"maximum":[134],"efficacy":[135],"when":[138],"trained":[142],"tested":[144],"same":[150],"project.":[151],"this":[153],"paper,":[154],"we":[155],"present":[156,203],"results":[158],"applying":[160,231],"four":[161],"unsupervised":[162,191,237],"techniques":[164,238],"Industrial":[168],"typically":[171],"noise---email":[177],"dump,":[178],"chat":[179],"transcripts,":[180],"core-dump---useless":[181],"sentences":[182],"perspective":[185],"derail":[189],"approaches,":[192],"optimized":[195],"more":[199],"well-formed":[200],"documents.":[201],"We":[202],"an":[204],"approach":[205],"noise":[207,232],"reduction,":[208,233],"helps":[210],"improve":[212],"precision":[214],"base":[219,227],"technique":[220],"(4%":[221],"24%":[223],"across":[224],"subjects":[225],"techniques).":[228],"Importantly,":[229],"by":[230],"two":[234],"became":[239],"scalable":[240],"sized":[243],"reports.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2016-06-24T00:00:00"}