{"id":"https://openalex.org/W4317851166","doi":"https://doi.org/10.1109/tr.2023.3236404","title":"AttSum: A Deep Attention-Based Summarization Model for Bug Report Title Generation","display_name":"AttSum: A Deep Attention-Based Summarization Model for Bug Report Title Generation","publication_year":2023,"publication_date":"2023-01-24","ids":{"openalex":"https://openalex.org/W4317851166","doi":"https://doi.org/10.1109/tr.2023.3236404"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2023.3236404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2023.3236404","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Reliability","raw_type":"journal-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/A5085738488","display_name":"Xiaoxue Ma","orcid":"https://orcid.org/0000-0002-5476-6074","observed_orcids":["https://orcid.org/0000-0002-5476-6074"]},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaoxue Ma","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-5476-6074","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051403641","display_name":"Jacky Keung","orcid":"https://orcid.org/0000-0002-3803-9600","observed_orcids":["https://orcid.org/0000-0002-3803-9600"]},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jacky Wai Keung","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-3803-9600","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047060039","display_name":"Xiao Hua Yu","orcid":"https://orcid.org/0000-0002-4473-3068","observed_orcids":["https://orcid.org/0000-0002-4473-3068"]},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Yu","raw_affiliation_strings":["Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya, China","School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4473-3068","affiliations":[{"raw_affiliation_string":"Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024447922","display_name":"Huiqi Zou","orcid":"https://orcid.org/0000-0003-2948-550X","observed_orcids":["https://orcid.org/0000-0003-2948-550X"]},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Huiqi Zou","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-2948-550X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335719","display_name":"Jingyu Zhang","orcid":"https://orcid.org/0000-0001-6043-4239","observed_orcids":["https://orcid.org/0000-0001-6043-4239"]},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jingyu Zhang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042692958","display_name":"Yishu Li","orcid":"https://orcid.org/0000-0003-4017-4294","observed_orcids":["https://orcid.org/0000-0003-4017-4294"]},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yishu Li","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-4017-4294","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2345,"currency":"USD","value_usd":2345},"apc_paid":null,"fwci":2.022,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88601086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"72","issue":"4","first_page":"1663","last_page":"1677"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9990000128746033,"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/T10260","display_name":"Software Engineering Research","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.9011322259902954},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6475949287414551},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48858603835105896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41967490315437317},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.34691500663757324},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21127772331237793}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9011322259902954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6475949287414551},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48858603835105896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41967490315437317},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.34691500663757324},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21127772331237793}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2023.3236404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2023.3236404","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Reliability","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"x_sdgs":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2870832654","display_name":null,"funder_award_id":"7005217","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"},{"id":"https://openalex.org/G4935474317","display_name":null,"funder_award_id":"6000796","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"},{"id":"https://openalex.org/G8306563306","display_name":null,"funder_award_id":"7005028","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1566289585","https://openalex.org/W1843891098","https://openalex.org/W2030065340","https://openalex.org/W2101105183","https://openalex.org/W2105482032","https://openalex.org/W2107026277","https://openalex.org/W2109886035","https://openalex.org/W2142112143","https://openalex.org/W2160517961","https://openalex.org/W2280798142","https://openalex.org/W2574872930","https://openalex.org/W2606974598","https://openalex.org/W2888556271","https://openalex.org/W2890419630","https://openalex.org/W2896457183","https://openalex.org/W2896807716","https://openalex.org/W2921645495","https://openalex.org/W2924690340","https://openalex.org/W2952138241","https://openalex.org/W2962753370","https://openalex.org/W2962826786","https://openalex.org/W2962965405","https://openalex.org/W2962972512","https://openalex.org/W2963211739","https://openalex.org/W2963212250","https://openalex.org/W2963463964","https://openalex.org/W2964165364","https://openalex.org/W2965373594","https://openalex.org/W2969475198","https://openalex.org/W2970419734","https://openalex.org/W2970597249","https://openalex.org/W3011411500","https://openalex.org/W3027616835","https://openalex.org/W3090867931","https://openalex.org/W3119920397","https://openalex.org/W3168101435","https://openalex.org/W3174740339","https://openalex.org/W3175000455","https://openalex.org/W3201849546","https://openalex.org/W4206904750","https://openalex.org/W4213279169","https://openalex.org/W4230920021","https://openalex.org/W4245267204","https://openalex.org/W4281384435","https://openalex.org/W4281400706","https://openalex.org/W4299627282","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6682631176","https://openalex.org/W6695220544","https://openalex.org/W6761268247","https://openalex.org/W6763701032","https://openalex.org/W6766673545"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2351187795","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Concise":[0],"and":[1,55,69,125,143,155,188,200,205],"precise":[2],"bug":[3,15,23,29,46,89,108,153],"report":[4,16,30,47,90,109],"titles":[5,48],"help":[6],"software":[7],"developers":[8],"to":[9,44,63,86,105,111,121,129,163,172,232],"capture":[10,64,112],"the":[11,14,51,65,71,95,100,107,117,126,131,137,173,215,218,223],"highlights":[12],"of":[13,152,160,192,217],"quickly.":[17],"Unfortunately,":[18],"it":[19],"is":[20,229],"common":[21],"that":[22,226],"reporters":[24],"do":[25],"not":[26],"create":[27],"high-quality":[28,88],"titles.":[31,91,166,236],"Recent":[32],"long":[33],"short-term":[34],"memory":[35],"(LSTM)-based":[36],"sequence-to-sequence":[37],"models":[38],"such":[39,59],"as":[40],"iTAPE":[41],"were":[42],"proposed":[43],"generate":[45,87,123,233],"automatically,":[49],"but":[50],"text":[52],"representation":[53],"method":[54],"LSTM":[56],"employed":[57],"in":[58,190,198],"model":[60,84],"are":[61],"difficult":[62],"accurate":[66],"semantic":[67,114],"information":[68,115],"draw":[70],"global":[72],"dependencies":[73],"among":[74],"tokens":[75],"effectively.":[76],"This":[77],"article":[78],"proposes":[79],"a":[80,157,177],"deep":[81],"attention-based":[82],"summarization":[83],"(i.e.,AttSum)":[85],"Specifically,":[92],"theAttSummodel":[93],"employs":[94],"encoder.decoder":[96],"framework,":[97],"which":[98],"utilizes":[99],"robustly":[101],"optimized":[102],"bidirectional-encoder-representations-from-transformers":[103],"approach":[104,228],"encode":[106],"bodies":[110],"contextual":[113],"better,":[116],"stacked":[118],"transformer":[119],"decoder":[120],"automatically":[122],"titles,":[124],"copy":[127],"mechanism":[128],"handle":[130],"rare":[132],"token":[133],"problem.":[134],"To":[135],"validate":[136],"effectiveness":[138],"ofAttSum,":[139],"we":[140,213],"conduct":[141],"automatic":[142,182],"manual":[144],"evaluations":[145],"on":[146,181],"333563":[147],"\u201c$<":[148],"body,":[149],"title>$\u201d":[150],"pairs":[151],"reports":[154],"perform":[156],"practical":[158],"analysis":[159],"its":[161],"ability":[162],"improve":[164],"low-quality":[165],"The":[167],"result":[168],"shows":[169],"thatAttSumis":[170],"superior":[171],"state-of-the-art":[174],"baselines":[175],"by":[176,186,210],"substantial":[178],"margin":[179],"both":[180],"evaluation":[183,197,202],"metrics":[184],"(e.g.,":[185,209],"3.4%\u201358.8%":[187],"7.7%\u201342.3%":[189],"terms":[191],"recall-oriented":[193],"understudy":[194],"for":[195],"gisting":[196],"F1":[199],"bilingual":[201],"understudy,":[203],"separately)":[204],"three":[206],"human-set":[207],"modalities":[208],"1.9%\u201357.5%).":[211],"Moreover,":[212],"analyze":[214],"impact":[216],"training":[219],"data":[220],"size":[221],"onAttSumand":[222],"results":[224],"imply":[225],"our":[227],"robust":[230],"enough":[231],"much":[234],"better":[235]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4}],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2025-10-10T00:00:00"}
