{"id":"https://openalex.org/W3003424012","doi":"https://doi.org/10.1145/3374549.3374570","title":"Identification of Software Problem Report Types Using Multiclass Classification","display_name":"Identification of Software Problem Report Types Using Multiclass Classification","publication_year":2019,"publication_date":"2019-12-09","ids":{"openalex":"https://openalex.org/W3003424012","doi":"https://doi.org/10.1145/3374549.3374570","mag":"3003424012"},"language":"en","primary_location":{"id":"doi:10.1145/3374549.3374570","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374549.3374570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Software and e-Business","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/A5019034792","display_name":"Phatcharaporn Kaewnoo","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Phatcharaporn Kaewnoo","raw_affiliation_strings":["Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000898716","display_name":"Twittie Senivongse","orcid":"https://orcid.org/0000-0002-3822-9199"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Twittie Senivongse","raw_affiliation_strings":["Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158708052"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25068368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"104","last_page":"109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9965999722480774,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.980400025844574,"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/computer-science","display_name":"Computer science","score":0.7073262929916382},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.615777850151062},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6054851412773132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48994749784469604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4799237847328186},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4519195854663849},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.3689335584640503},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3309987187385559},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12694582343101501}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7073262929916382},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.615777850151062},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6054851412773132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48994749784469604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4799237847328186},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4519195854663849},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3689335584640503},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3309987187385559},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12694582343101501},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3374549.3374570","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374549.3374570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Software and e-Business","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2069115313","https://openalex.org/W2091863316","https://openalex.org/W2148143831","https://openalex.org/W2886714101","https://openalex.org/W3021978794"],"related_works":["https://openalex.org/W2394466068","https://openalex.org/W1987683558","https://openalex.org/W2726838704","https://openalex.org/W4220802396","https://openalex.org/W2393473353","https://openalex.org/W2373790322","https://openalex.org/W1989494794","https://openalex.org/W2122031327","https://openalex.org/W1184238669","https://openalex.org/W3032901101"],"abstract_inverted_index":{"Users":[0],"often":[1],"experience":[2],"failures,":[3],"have":[4,7,41,112],"problems,":[5],"or":[6,23,30],"further":[8],"requests":[9],"with":[10],"regard":[11],"to":[12,26,42,45,55,58,107,113,120,147,251],"the":[13,96,108,117,121,134,137,185,196,212,239,248],"software":[14,56,69,76,90,98,246,249],"they":[15],"use.":[16],"Software":[17],"companies":[18,57,85],"provide":[19],"customer":[20,24,60],"care":[21],"service":[22],"support":[25,227],"handle":[27],"such":[28],"issues":[29],"problems":[31,94,99,240],"which":[32,216],"sometimes":[33,40],"can":[34],"be":[35,43,114],"resolved":[36],"right":[37],"away":[38],"and":[39,86,103,111,127,174,177,182,201,208,221,234],"forwarded":[44],"responsible":[46,122],"persons.":[47],"Efficiency":[48],"of":[49,67,83,136,184,199,203,211,238],"problem":[50,118,150,186,213,232],"handling":[51],"is":[52,77,130,217],"very":[53],"important":[54],"maintain":[59],"satisfaction.":[61],"This":[62,140],"paper":[63,141,224],"reports":[64,119,233],"a":[65,68,80,125,143,226,236],"case":[66],"company":[70,91],"in":[71,124,156,219,242],"Thailand":[72],"whose":[73],"derivatives":[74,244],"trading":[75,138,158,245],"used":[78],"by":[79],"large":[81],"number":[82],"broker":[84],"their":[87],"customers.":[88],"The":[89,223],"has":[92],"experienced":[93],"where":[95],"reported":[97],"are":[100,105,154,164],"classified":[101],"incorrectly":[102],"hence":[104],"directed":[106],"wrong":[109],"persons":[110,123],"reclassified.":[115],"Assigning":[116],"timely":[126],"correct":[128],"manner":[129],"crucial":[131],"especially":[132],"for":[133,229,247],"nature":[135],"software.":[139,159],"presents":[142,225],"multiclass":[144],"classification":[145],"method":[146],"classify":[148],"11":[149],"report":[151,214],"types":[152],"that":[153,163],"found":[155,241],"this":[157,243],"Machine":[160],"learning":[161],"algorithms":[162],"applied":[165],"include":[166],"Multinomial":[167],"Na\u00efve":[168],"Bayes,":[169],"Linear":[170,191],"SVC,":[171],"Random":[172],"Forest,":[173],"Logistic":[175],"Regression,":[176],"consider":[178],"both":[179],"lexical":[180],"features":[181,210],"metadata":[183],"reports.":[187],"In":[188],"an":[189],"experiment,":[190],"SVC":[192],"performed":[193],"best,":[194],"having":[195],"F1":[197],"score":[198],"91.69%":[200],"accuracy":[202],"91.79%":[204],"when":[205],"using":[206],"unigram":[207],"trigram":[209],"text":[215],"written":[218],"Thai":[220],"English.":[222],"tool":[228],"classifying":[230],"new":[231],"providing":[235],"dashboard":[237],"team":[250],"manage":[252],"its":[253],"maintenance.":[254]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}