{"id":"https://openalex.org/W4282835352","doi":"https://doi.org/10.1109/icse-nier55298.2022.9793521","title":"Are We Training with The Right Data? Evaluating Collective Confidence in Training Data using Dempster Shafer Theory","display_name":"Are We Training with The Right Data? Evaluating Collective Confidence in Training Data using Dempster Shafer Theory","publication_year":2022,"publication_date":"2022-05-01","ids":{"openalex":"https://openalex.org/W4282835352","doi":"https://doi.org/10.1109/icse-nier55298.2022.9793521"},"language":"en","primary_location":{"id":"doi:10.1109/icse-nier55298.2022.9793521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icse-nier55298.2022.9793521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACM 44th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)","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/A5103380890","display_name":"Sangeeta Dey","orcid":null},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sangeeta Dey","raw_affiliation_strings":["Ajou University Suwon,Gyeonggi-do,South Korea","Ajou University Suwon, Gyeonggi-do, South Korea"],"affiliations":[{"raw_affiliation_string":"Ajou University Suwon,Gyeonggi-do,South Korea","institution_ids":["https://openalex.org/I57664883"]},{"raw_affiliation_string":"Ajou University Suwon, Gyeonggi-do, South Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054673275","display_name":"Seok-Won Lee","orcid":"https://orcid.org/0000-0001-9560-9262"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seok-Won Lee","raw_affiliation_strings":["Ajou University Suwon,Gyeonggi-do,South Korea","Ajou University Suwon, Gyeonggi-do, South Korea"],"affiliations":[{"raw_affiliation_string":"Ajou University Suwon,Gyeonggi-do,South Korea","institution_ids":["https://openalex.org/I57664883"]},{"raw_affiliation_string":"Ajou University Suwon, Gyeonggi-do, South Korea","institution_ids":["https://openalex.org/I57664883"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103380890"],"corresponding_institution_ids":["https://openalex.org/I57664883"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06400913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"11","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.994700014591217,"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"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.994700014591217,"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"}},{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9050999879837036,"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/training","display_name":"Training (meteorology)","score":0.870962917804718},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.7098198533058167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.685764729976654},{"id":"https://openalex.org/keywords/dempster\u2013shafer-theory","display_name":"Dempster\u2013Shafer theory","score":0.6040135025978088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5657521486282349},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4578503668308258}],"concepts":[{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.870962917804718},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.7098198533058167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.685764729976654},{"id":"https://openalex.org/C178011137","wikidata":"https://www.wikidata.org/wiki/Q285997","display_name":"Dempster\u2013Shafer theory","level":2,"score":0.6040135025978088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5657521486282349},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4578503668308258},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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":1,"locations":[{"id":"doi:10.1109/icse-nier55298.2022.9793521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icse-nier55298.2022.9793521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACM 44th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W47289094","https://openalex.org/W1868418182","https://openalex.org/W2048196003","https://openalex.org/W2107775979","https://openalex.org/W2771583656","https://openalex.org/W2922234936","https://openalex.org/W3036062984","https://openalex.org/W4210862833","https://openalex.org/W4301347335"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"The":[0,64],"latest":[1],"trend":[2],"of":[3,23,45,60,67,79,95,103,122,128,165,193],"incorporating":[4],"various":[5],"data-centric":[6],"machine":[7],"learning":[8],"(ML)":[9],"models":[10,39],"in":[11,18,27,73,85,100,150,190],"software-intensive":[12],"systems":[13],"has":[14,52],"posed":[15],"new":[16],"challenges":[17],"the":[19,42,57,61,74,80,86,97,101,120,134,141,151,157],"quality":[20,102,152],"assurance":[21,177],"practice":[22,66],"software":[24,191],"engineering,":[25],"especially":[26],"a":[28,93,104,163],"high-risk":[29],"environment.":[30],"ML":[31,38,88],"experts":[32],"are":[33],"now":[34],"focusing":[35],"on":[36,168],"explaining":[37],"to":[40,55,146],"assure":[41],"safe":[43],"behavior":[44],"ML-based":[46,68,179],"systems.":[47,181],"However,":[48],"not":[49],"enough":[50],"attention":[51],"been":[53],"paid":[54],"explain":[56],"inherent":[58],"uncertainty":[59],"training":[62,81,105,123],"data.":[63,158],"current":[65],"system":[69],"engineering":[70,171,186],"lacks":[71],"transparency":[72],"systematic":[75],"fitness":[76],"assessment":[77],"process":[78],"data":[82,169,176],"before":[83],"engaging":[84],"rigorous":[87],"model":[89],"training.":[90],"We":[91],"propose":[92],"method":[94],"assessing":[96],"collective":[98],"confidence":[99,199],"dataset":[106],"by":[107,140],"using":[108],"Dempster":[109],"Shafer":[110],"theory":[111],"and":[112,154,184,198],"its":[113,185],"modified":[114],"combination":[115],"rule":[116],"(Yager\u2019s":[117],"rule).":[118],"With":[119],"example":[121],"datasets":[124],"for":[125,178],"pedestrian":[126],"detection":[127],"autonomous":[129],"vehicles,":[130],"we":[131],"demonstrate":[132],"how":[133],"proposed":[135],"approach":[136],"can":[137,173],"be":[138],"used":[139],"stakeholders":[142],"with":[143],"diverse":[144],"expertise":[145],"combine":[147],"their":[148],"beliefs":[149],"arguments":[153],"evidences":[155],"about":[156],"Our":[159],"results":[160],"open":[161],"up":[162],"scope":[164],"future":[166],"research":[167],"requirements":[170],"that":[172],"facilitate":[174],"evidence-based":[175],"safety-critical":[180],"CCS":[182],"CONCEPTS\u2022Software":[183],"$\\rightarrow$Risk":[187],"management;":[188],"Collaboration":[189],"development;\u2022Mathematics":[192],"computing":[194],"$\\rightarrow$":[195],"Hypothesis":[196],"testing":[197],"interval":[200],"computation.":[201]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
