{"id":"https://openalex.org/W4400276230","doi":"https://doi.org/10.1109/tse.2024.3421591","title":"Multi-Objective Software Defect Prediction via Multi-Source Uncertain Information Fusion and Multi-Task Multi-View Learning","display_name":"Multi-Objective Software Defect Prediction via Multi-Source Uncertain Information Fusion and Multi-Task Multi-View Learning","publication_year":2024,"publication_date":"2024-07-03","ids":{"openalex":"https://openalex.org/W4400276230","doi":"https://doi.org/10.1109/tse.2024.3421591"},"language":"en","primary_location":{"id":"doi:10.1109/tse.2024.3421591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tse.2024.3421591","pdf_url":null,"source":{"id":"https://openalex.org/S8351582","display_name":"IEEE Transactions on Software Engineering","issn_l":"0098-5589","issn":["0098-5589","1939-3520","2326-3881"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Software Engineering","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/A5027059634","display_name":"Minghao Yang","orcid":"https://orcid.org/0000-0003-3243-0569"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghao Yang","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3243-0569","affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101490856","display_name":"Shunkun Yang","orcid":"https://orcid.org/0000-0002-2580-4529"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunkun Yang","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2580-4529","affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066624039","display_name":"W. Eric Wong","orcid":"https://orcid.org/0000-0002-1021-4753"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. Eric Wong","raw_affiliation_strings":["Department of Computer Science, University of Texas at Dallas, Richardson, TX, USA"],"raw_orcid":"https://orcid.org/0000-0002-1021-4753","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Texas at Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.0249,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.96186222,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"50","issue":"8","first_page":"2054","last_page":"2076"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9973000288009644,"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":0.9973000288009644,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.992900013923645,"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/T10430","display_name":"Software Engineering Techniques and Practices","score":0.972100019454956,"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/computer-science","display_name":"Computer science","score":0.8602312803268433},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6674474477767944},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.5168828964233398},{"id":"https://openalex.org/keywords/software-bug","display_name":"Software bug","score":0.5119898915290833},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.48164454102516174},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4543929696083069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43742990493774414},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.4032023847103119},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3634050488471985},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.20716288685798645},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.12656143307685852}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8602312803268433},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6674474477767944},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.5168828964233398},{"id":"https://openalex.org/C1009929","wikidata":"https://www.wikidata.org/wiki/Q179550","display_name":"Software bug","level":3,"score":0.5119898915290833},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.48164454102516174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4543929696083069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43742990493774414},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.4032023847103119},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3634050488471985},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.20716288685798645},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.12656143307685852},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tse.2024.3421591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tse.2024.3421591","pdf_url":null,"source":{"id":"https://openalex.org/S8351582","display_name":"IEEE Transactions on Software Engineering","issn_l":"0098-5589","issn":["0098-5589","1939-3520","2326-3881"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Software Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6200340810","display_name":null,"funder_award_id":"61672080","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W76990466","https://openalex.org/W1532325895","https://openalex.org/W1902482618","https://openalex.org/W1964962870","https://openalex.org/W1967446222","https://openalex.org/W2103597457","https://openalex.org/W2114315281","https://openalex.org/W2158864412","https://openalex.org/W2191277038","https://openalex.org/W2251743902","https://openalex.org/W2343875716","https://openalex.org/W2616916909","https://openalex.org/W2772409766","https://openalex.org/W2790911601","https://openalex.org/W2795990847","https://openalex.org/W2896224010","https://openalex.org/W2898435572","https://openalex.org/W2906722631","https://openalex.org/W2911121806","https://openalex.org/W2955426500","https://openalex.org/W2955925687","https://openalex.org/W2963168538","https://openalex.org/W2963339489","https://openalex.org/W2963842982","https://openalex.org/W2978569165","https://openalex.org/W2993452100","https://openalex.org/W2997159780","https://openalex.org/W2998024052","https://openalex.org/W3003472398","https://openalex.org/W3006090163","https://openalex.org/W3010712377","https://openalex.org/W3021986703","https://openalex.org/W3034708533","https://openalex.org/W3037099619","https://openalex.org/W3083954092","https://openalex.org/W3087102429","https://openalex.org/W3092406709","https://openalex.org/W3094614897","https://openalex.org/W3104712907","https://openalex.org/W3104759514","https://openalex.org/W3118657661","https://openalex.org/W3119533254","https://openalex.org/W3128496395","https://openalex.org/W3146708833","https://openalex.org/W3175671591","https://openalex.org/W3195612455","https://openalex.org/W3204397973","https://openalex.org/W3208790591","https://openalex.org/W3217456364","https://openalex.org/W4200109676","https://openalex.org/W4206238894","https://openalex.org/W4207068100","https://openalex.org/W4221057950","https://openalex.org/W4233818654","https://openalex.org/W4285141508","https://openalex.org/W4293764002","https://openalex.org/W4296422514","https://openalex.org/W4308653657","https://openalex.org/W4312436517","https://openalex.org/W4313142332","https://openalex.org/W4313887307","https://openalex.org/W4317034740","https://openalex.org/W4321789196","https://openalex.org/W6607741199","https://openalex.org/W6685145238","https://openalex.org/W6744560608","https://openalex.org/W7048930064"],"related_works":["https://openalex.org/W4389443772","https://openalex.org/W2548721895","https://openalex.org/W2373456246","https://openalex.org/W2013265273","https://openalex.org/W4238809000","https://openalex.org/W2786646446","https://openalex.org/W2312871963","https://openalex.org/W2331739042","https://openalex.org/W2390930322","https://openalex.org/W2621101275"],"abstract_inverted_index":{"Effective":[0],"software":[1,8,251],"defect":[2,83,101,123,223],"prediction":[3,204],"(SDP)":[4],"is":[5,94],"important":[6],"for":[7,167,210,222,243],"quality":[9],"assurance.":[10],"Numerous":[11],"advanced":[12],"SDP":[13,29,47,184,212,234],"methods":[14,209],"have":[15],"been":[16],"proposed":[17,95,199,232],"recently.":[18],"However,":[19],"how":[20],"to":[21,35,59,96,125,160,245],"consider":[22],"the":[23,64,99,112,117,128,151,172,188,192,198,203,231,248],"task":[24,174],"correlations":[25],"and":[26,31,54,61,67,86,106,119,132,135,138,175,220,226,240,253],"achieve":[27],"multi-objective":[28,46,109,233],"accurately":[30,60],"efficiently":[32,62],"still":[33],"remains":[34],"be":[36],"further":[37],"explored.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42],"propose":[43],"a":[44,90],"novel":[45,91],"method":[48,200,235],"via":[49],"multi-source":[50,77,122],"uncertain":[51,82,100],"information":[52,102,124],"fusion":[53],"multi-task":[55],"multi-view":[56,72,104],"learning":[57,189],"(MTMV)":[58],"predict":[63],"proneness,":[65,224],"location,":[66,225],"type":[68,139,227],"of":[69,121,130,141,164,250],"defects.":[70],"Firstly,":[71],"features":[73,105,158],"are":[74,217],"extracted":[75],"from":[76],"static":[78,142],"analysis":[79,143,252],"results,":[80],"reflecting":[81],"location":[84,137],"distribution":[85],"semantic":[87],"information.":[88],"Then,":[89,170],"MTMV":[92,156],"model":[93],"fully":[97],"fuse":[98,157],"in":[103,155],"realize":[107],"effective":[108],"SDP.":[110],"Specifically,":[111],"convolutional":[113],"GRU":[114],"encoders":[115],"capture":[116],"consistency":[118],"complementarity":[120],"automatically":[126],"filter":[127],"noise":[129],"false":[131],"missed":[133],"alarms,":[134],"reduce":[136],"uncertainty":[140],"results.":[144],"A":[145],"global":[146,162],"attention":[147],"mechanism":[148],"combined":[149],"with":[150],"hard":[152],"parameter":[153],"sharing":[154,187],"according":[159],"their":[161],"importance":[163],"all":[165,183,211],"tasks":[166,185],"balanced":[168],"learning.":[169],"considering":[171],"latent":[173],"feature":[176],"correlations,":[177],"multiple":[178],"task-specific":[179],"decoders":[180],"jointly":[181],"optimize":[182],"by":[186],"experience.":[190],"Through":[191],"extensive":[193],"experiments":[194],"on":[195],"14":[196],"datasets,":[197],"significantly":[201,246],"improves":[202],"performance":[205],"over":[206],"12":[207],"baseline":[208],"objectives.":[213],"The":[214],"average":[215],"improvements":[216],"30.7%,":[218],"31.2%,":[219],"32.4%":[221],"prediction,":[228],"respectively.":[229],"Therefore,":[230],"can":[236],"provide":[237],"more":[238],"sufficient":[239],"precise":[241],"insights":[242],"developers":[244],"improve":[247],"efficiency":[249],"testing.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}