{"id":"https://openalex.org/W7117449922","doi":"https://doi.org/10.1007/s10586-025-05817-9","title":"Bagging gradient nearest neighbor-based Ivy algorithm optimized SVM ensemble learning for heterogeneous software defect prediction","display_name":"Bagging gradient nearest neighbor-based Ivy algorithm optimized SVM ensemble learning for heterogeneous software defect prediction","publication_year":2025,"publication_date":"2025-12-29","ids":{"openalex":"https://openalex.org/W7117449922","doi":"https://doi.org/10.1007/s10586-025-05817-9"},"language":"en","primary_location":{"id":"doi:10.1007/s10586-025-05817-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10586-025-05817-9","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","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":null,"display_name":"Li-fang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li-fang Chen","raw_affiliation_strings":["College of Science, North China University of Science and Technology, Tangshan, 063210, China"],"affiliations":[{"raw_affiliation_string":"College of Science, North China University of Science and Technology, Tangshan, 063210, China","institution_ids":["https://openalex.org/I137506752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009028615","display_name":"Ke-Xin Cao","orcid":"https://orcid.org/0000-0003-0857-2428"},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke-xin Cao","raw_affiliation_strings":["College of Science, North China University of Science and Technology, Tangshan, 063210, China"],"affiliations":[{"raw_affiliation_string":"College of Science, North China University of Science and Technology, Tangshan, 063210, China","institution_ids":["https://openalex.org/I137506752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121504864","display_name":"Si-peng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si-peng Zhang","raw_affiliation_strings":["College of Science, North China University of Science and Technology, Tangshan, 063210, China"],"affiliations":[{"raw_affiliation_string":"College of Science, North China University of Science and Technology, Tangshan, 063210, China","institution_ids":["https://openalex.org/I137506752"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054267012","display_name":"Qi Dai","orcid":"https://orcid.org/0000-0002-0094-9609"},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Dai","raw_affiliation_strings":["College of Science, North China University of Science and Technology, Tangshan, 063210, China"],"affiliations":[{"raw_affiliation_string":"College of Science, North China University of Science and Technology, Tangshan, 063210, China","institution_ids":["https://openalex.org/I137506752"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I137506752"],"apc_list":{"value":2190,"currency":"EUR","value_usd":2790},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75305426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9775999784469604,"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":0.9775999784469604,"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/T10430","display_name":"Software Engineering Techniques and Practices","score":0.0027000000700354576,"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":0.002199999988079071,"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/benchmark","display_name":"Benchmark (surveying)","score":0.5954999923706055},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5683000087738037},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4429999887943268},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.43880000710487366},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.423799991607666},{"id":"https://openalex.org/keywords/wilcoxon-signed-rank-test","display_name":"Wilcoxon signed-rank test","score":0.3799999952316284},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.36329999566078186},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.35740000009536743}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7946000099182129},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5954999923706055},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5683000087738037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.548799991607666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5378999710083008},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5299000144004822},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4429999887943268},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.43880000710487366},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.423799991607666},{"id":"https://openalex.org/C206041023","wikidata":"https://www.wikidata.org/wiki/Q1751970","display_name":"Wilcoxon signed-rank test","level":3,"score":0.3799999952316284},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.36329999566078186},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.35740000009536743},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.35440000891685486},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3483999967575073},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.336899995803833},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.3181999921798706},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.3046000003814697},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2946999967098236},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.2935999929904938},{"id":"https://openalex.org/C1009929","wikidata":"https://www.wikidata.org/wiki/Q179550","display_name":"Software bug","level":3,"score":0.2728999853134155},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10586-025-05817-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10586-025-05817-9","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4313623905181885}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1994719586","https://openalex.org/W1997600725","https://openalex.org/W2021688474","https://openalex.org/W2041496338","https://openalex.org/W2055949897","https://openalex.org/W2064330644","https://openalex.org/W2165698076","https://openalex.org/W2290883490","https://openalex.org/W2573137292","https://openalex.org/W2748169822","https://openalex.org/W2770344288","https://openalex.org/W2793681838","https://openalex.org/W2799991731","https://openalex.org/W2940101507","https://openalex.org/W2949031891","https://openalex.org/W2963520355","https://openalex.org/W2981073616","https://openalex.org/W3002360338","https://openalex.org/W3089815828","https://openalex.org/W3108394417","https://openalex.org/W3123998511","https://openalex.org/W3158251424","https://openalex.org/W3215804261","https://openalex.org/W4238859253","https://openalex.org/W4285219015","https://openalex.org/W4285585607","https://openalex.org/W4289261546","https://openalex.org/W4312433526","https://openalex.org/W4313647855","https://openalex.org/W4386028850","https://openalex.org/W4386846106","https://openalex.org/W4388988605","https://openalex.org/W4389636822","https://openalex.org/W4390415026","https://openalex.org/W4390777606","https://openalex.org/W4391014866","https://openalex.org/W4391102512","https://openalex.org/W4391825390","https://openalex.org/W4392912225","https://openalex.org/W4393140556","https://openalex.org/W4395008965","https://openalex.org/W4396805571","https://openalex.org/W4396904199","https://openalex.org/W4399208683","https://openalex.org/W4399886383","https://openalex.org/W4402328887","https://openalex.org/W4402664291","https://openalex.org/W4402686779","https://openalex.org/W4405802943","https://openalex.org/W4407178745","https://openalex.org/W4407546997","https://openalex.org/W4407902645","https://openalex.org/W4411299506"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-12-29T00:00:00"}
