{"id":"https://openalex.org/W4412040139","doi":"https://doi.org/10.32604/cmc.2025.065726","title":"Software Defect Prediction Based on Semantic Views of Metrics: Clustering Analysis and Model Performance Analysis","display_name":"Software Defect Prediction Based on Semantic Views of Metrics: Clustering Analysis and Model Performance Analysis","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412040139","doi":"https://doi.org/10.32604/cmc.2025.065726"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.065726","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.065726","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.32604/cmc.2025.065726","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032881440","display_name":"Baishun Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Baishun Zhou","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022185442","display_name":"Han Zhao","orcid":"https://orcid.org/0000-0001-5781-9779"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haijiao Zhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058342436","display_name":"Yuxin Wen","orcid":"https://orcid.org/0000-0003-3719-9001"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuxin Wen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065910795","display_name":"Gangyi Ding","orcid":"https://orcid.org/0000-0001-6916-460X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gangyi Ding","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009499465","display_name":"Ying Xing","orcid":"https://orcid.org/0000-0003-2807-1911"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Xing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003902980","display_name":"Xinyang Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinyang Lin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100441099","display_name":"Lei Xiao","orcid":"https://orcid.org/0000-0003-0307-6206"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Xiao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5032881440"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26837253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"84","issue":"3","first_page":"5201","last_page":"5221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9955000281333923,"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":0.9955000281333923,"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":0.9265999794006348,"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":0.9146999716758728,"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":0.6920416951179504},{"id":"https://openalex.org/keywords/semantic-analysis","display_name":"Semantic analysis (machine learning)","score":0.5894498229026794},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.538890540599823},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.501633882522583},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4410821199417114},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43580305576324463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40725213289260864},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.23332282900810242}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6920416951179504},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.5894498229026794},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.538890540599823},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.501633882522583},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4410821199417114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43580305576324463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40725213289260864},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.23332282900810242}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.065726","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.065726","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.065726","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.065726","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1932600547","https://openalex.org/W2134731454","https://openalex.org/W2148143831","https://openalex.org/W2769245605","https://openalex.org/W2791812915","https://openalex.org/W2898435572","https://openalex.org/W2908454557","https://openalex.org/W2911964244","https://openalex.org/W2978247905","https://openalex.org/W3182306886","https://openalex.org/W4210671315","https://openalex.org/W4391006019","https://openalex.org/W4391454373","https://openalex.org/W4399390121","https://openalex.org/W4400207882"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W4235488275","https://openalex.org/W2903379275","https://openalex.org/W4366961134","https://openalex.org/W2579156435","https://openalex.org/W4392201942"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"with":[3],"the":[4,10,17,25,77,92,108,120,128,133,136,151,155,169,184,197,201,208,223],"rapid":[5],"development":[6],"of":[7,13,20,27,31,80,95,122,168,171,175,186,200,210],"software":[8,14,32,39,45,50,65,81,86,98,137,156,213,233],"systems,":[9],"continuous":[11],"expansion":[12],"scale":[15],"and":[16,100,220],"increasing":[18],"complexity":[19],"systems":[21],"have":[22],"led":[23],"to":[24,56,63,90,106,117],"emergence":[26],"a":[28,112,217],"growing":[29],"number":[30,94,121],"metrics.":[33,157,234],"Defect":[34],"prediction":[35,67,179,229],"methods":[36,103],"based":[37,231],"on":[38,44,76,132,177,232],"metric":[40,46,51,82,109,138],"elements":[41],"highly":[42],"rely":[43],"data.":[47,83],"However,":[48],"redundant":[49],"data":[52,139],"is":[53,115],"not":[54],"conducive":[55],"efficient":[57],"defect":[58,66,178,214,228],"prediction,":[59,215],"posing":[60],"severe":[61],"challenges":[62],"current":[64],"tasks.":[68],"To":[69],"address":[70],"these":[71,191],"issues,":[72],"this":[73,159,161],"paper":[74,162],"focuses":[75],"rational":[78],"clustering":[79,102],"Firstly,":[84],"multiple":[85],"projects":[87],"are":[88,104,140],"evaluated":[89],"determine":[91],"preset":[93],"clusters":[96],"for":[97,227],"metrics,":[99,148],"various":[101,187],"employed":[105],"cluster":[107],"elements.":[110],"Subsequently,":[111],"co-occurrence":[113],"matrix":[114],"designed":[116],"comprehensively":[118],"quantify":[119],"times":[123],"that":[124,196],"metrics":[125,176],"appear":[126],"in":[127,212],"same":[129],"category.":[130],"Based":[131],"comprehensive":[134],"results,":[135,180],"divided":[141],"into":[142],"two":[143,202],"semantic":[144,152,173,192,203,224],"views":[145,204],"containing":[146],"different":[147,172],"thereby":[149],"analyzing":[150],"information":[153],"behind":[154],"On":[158],"basis,":[160],"also":[163],"conducts":[164],"an":[165],"in-depth":[166],"analysis":[167],"impact":[170],"view":[174,225],"as":[181,183],"well":[182],"performance":[185,209],"classification":[188],"models":[189,211],"under":[190],"views.":[193],"Experiments":[194],"show":[195],"joint":[198],"use":[199],"can":[205],"significantly":[206],"improve":[207],"providing":[216],"new":[218],"understanding":[219],"approach":[221],"at":[222],"level":[226],"research":[230]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
