{"id":"https://openalex.org/W4406794469","doi":"https://doi.org/10.1109/tetc.2025.3531051","title":"Towards Label-Efficient Deep Learning-Based Aging-Related Bug Prediction With Spiking Convolutional Neural Networks","display_name":"Towards Label-Efficient Deep Learning-Based Aging-Related Bug Prediction With Spiking Convolutional Neural Networks","publication_year":2025,"publication_date":"2025-01-24","ids":{"openalex":"https://openalex.org/W4406794469","doi":"https://doi.org/10.1109/tetc.2025.3531051"},"language":"en","primary_location":{"id":"doi:10.1109/tetc.2025.3531051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetc.2025.3531051","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Emerging Topics in 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":"https://openalex.org/A5007332382","display_name":"Yunzhe Tian","orcid":"https://orcid.org/0000-0003-0015-7780"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunzhe Tian","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0015-7780","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045240151","display_name":"Yike Li","orcid":"https://orcid.org/0000-0002-6693-0935"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yike Li","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6693-0935","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056398222","display_name":"Kang Chen","orcid":"https://orcid.org/0000-0002-7947-5863"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Chen","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7947-5863","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039693075","display_name":"Zhenguo Zhang","orcid":"https://orcid.org/0000-0002-6970-6445"},"institutions":[{"id":"https://openalex.org/I4210164386","display_name":"Hebei Science and Technology Department","ror":"https://ror.org/05k812a28","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210164386"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenguo Zhang","raw_affiliation_strings":["Hebei Boshilin Technology Development Company, Ltd., Shijiazhuang, China","Hebei Boshilin Technology Development Co., Ltd., Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Boshilin Technology Development Company, Ltd., Shijiazhuang, China","institution_ids":["https://openalex.org/I4210164386"]},{"raw_affiliation_string":"Hebei Boshilin Technology Development Co., Ltd., Shijiazhuang, China","institution_ids":["https://openalex.org/I4210164386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085778638","display_name":"Endong Tong","orcid":"https://orcid.org/0000-0003-0348-2108"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Endong Tong","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0348-2108","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070828650","display_name":"Jiqiang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiqiang Liu","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1147-4327","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072209187","display_name":"Fangyun Qin","orcid":"https://orcid.org/0000-0002-3407-5161"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangyun Qin","raw_affiliation_strings":["College of Information Engineering, Capital Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3407-5161","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459073","display_name":"Zheng Zheng","orcid":"https://orcid.org/0000-0001-7922-9067"},"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":"Zheng Zheng","raw_affiliation_strings":["Laboratory of Dependable Intelligent Systems, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7922-9067","affiliations":[{"raw_affiliation_string":"Laboratory of Dependable Intelligent Systems, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047248381","display_name":"Wenjia Niu","orcid":"https://orcid.org/0000-0003-4706-4266"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjia Niu","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4706-4266","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5007332382"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":2.9051,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87746046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"13","issue":"2","first_page":"314","last_page":"329"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9832000136375427,"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":0.9832000136375427,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9807999730110168,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9710000157356262,"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":0.8418536186218262},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6761558055877686},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5982246398925781},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5461905002593994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5304272174835205},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41565656661987305},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3836550712585449}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8418536186218262},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6761558055877686},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5982246398925781},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5461905002593994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5304272174835205},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41565656661987305},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3836550712585449}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetc.2025.3531051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetc.2025.3531051","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Emerging Topics in Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1100003544","display_name":null,"funder_award_id":"62372021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1992313040","display_name":null,"funder_award_id":"F2023105005","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G2247602126","display_name":null,"funder_award_id":"2023JBZY036","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5686677886","display_name":null,"funder_award_id":"2023JBMC055","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2006370340","https://openalex.org/W2012878613","https://openalex.org/W2131934786","https://openalex.org/W2135641621","https://openalex.org/W2148143831","https://openalex.org/W2163782777","https://openalex.org/W2787894218","https://openalex.org/W2788437623","https://openalex.org/W2798878556","https://openalex.org/W2889179608","https://openalex.org/W2892077605","https://openalex.org/W3005979163","https://openalex.org/W3023863023","https://openalex.org/W3105145507","https://openalex.org/W3112777210","https://openalex.org/W3124064180","https://openalex.org/W3135613337","https://openalex.org/W3158912874","https://openalex.org/W3179291489","https://openalex.org/W3202875595","https://openalex.org/W3205626500","https://openalex.org/W4200101835","https://openalex.org/W4212860952","https://openalex.org/W4226341817","https://openalex.org/W4238614602","https://openalex.org/W4285358058","https://openalex.org/W4311489580","https://openalex.org/W4312249682","https://openalex.org/W4312407813","https://openalex.org/W4376506309","https://openalex.org/W4378965945","https://openalex.org/W4388212564","https://openalex.org/W4388212694","https://openalex.org/W4388275322","https://openalex.org/W6631190155","https://openalex.org/W6674330103","https://openalex.org/W6747231328","https://openalex.org/W6763607942","https://openalex.org/W6766978945","https://openalex.org/W6796939779","https://openalex.org/W6799650303","https://openalex.org/W6848761639"],"related_works":["https://openalex.org/W3126544799","https://openalex.org/W4375867731","https://openalex.org/W4391621807","https://openalex.org/W3104333581","https://openalex.org/W2542565870","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,56],"Deep":[3],"Learning":[4,107],"(DL)":[5],"have":[6],"enhanced":[7],"Aging-Related":[8],"Bug":[9],"(ARB)":[10],"prediction":[11,19,80],"for":[12,174],"mitigating":[13],"software":[14],"aging.":[15],"However,":[16],"DL-based":[17,167],"ARB":[18,79,152],"models":[20],"face":[21],"a":[22,73,84,102,138],"dual":[23],"challenge:":[24],"overcoming":[25],"overfitting":[26],"to":[27,66,131,145],"enhance":[28,132],"generalization":[29,161],"and":[30,50,93,104,114],"managing":[31],"the":[32,43,48,89,122],"high":[33],"labeling":[34,98,124,187],"costs":[35],"associated":[36],"with":[37,83,136],"extensive":[38],"data":[39],"requirements.":[40],"To":[41,96],"address":[42],"first":[44],"issue,":[45],"we":[46,71,100],"utilize":[47],"sparse":[49],"binary":[51],"nature":[52],"of":[53,121],"spiking":[54],"communication":[55],"Spiking":[57,74],"Neural":[58,76],"Networks":[59],"(SNNs),":[60],"which":[61,110],"inherently":[62],"provides":[63],"brain-inspired":[64],"regularization":[65],"effectively":[67,157],"alleviate":[68],"overfitting.":[69],"Therefore,":[70],"propose":[72],"Convolutional":[75],"Network":[77],"(SCNN)-based":[78],"model":[81],"along":[82,135],"training":[85],"framework":[86,108,127],"that":[87,155],"handles":[88],"model\u2019s":[90],"spatial-temporal":[91],"dynamics":[92],"non-differentiable":[94],"nature.":[95],"reduce":[97],"costs,":[99],"introduce":[101],"Bio-inspired":[103],"Diversity-aware":[105],"Active":[106],"(BiDAL),":[109],"prioritizes":[111],"highly":[112],"informative":[113],"diverse":[115],"samples,":[116],"enabling":[117],"more":[118],"efficient":[119],"usage":[120],"limited":[123,186],"budget.":[125],"This":[126],"incorporates":[128],"bio-inspired":[129],"uncertainty":[130],"informativeness":[133],"measurement":[134],"using":[137],"diversity-aware":[139],"selection":[140],"strategy":[141],"based":[142],"on":[143,150],"clustering":[144],"prevent":[146],"redundant":[147],"labeling.":[148],"Experiments":[149],"three":[151],"datasets":[153],"show":[154],"ARB-SCNN":[156,175],"reduces":[158],"overfitting,":[159],"improving":[160],"performance":[162],"by":[163,183],"6.65%":[164],"over":[165],"other":[166],"classifiers.":[168],"Additionally,":[169],"BiDAL":[170],"boosts":[171],"label":[172],"efficiency":[173],"training,":[176],"outperforming":[177],"four":[178],"state-of-the-art":[179],"active":[180],"learning":[181],"methods":[182],"4.77%":[184],"within":[185],"budgets.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}