{"id":"https://openalex.org/W4415743713","doi":"https://doi.org/10.1109/qrs-c65679.2025.00040","title":"Hybrid Deep Learning Models for Dynamic Warm-Up Iteration Optimization in Performance Testing","display_name":"Hybrid Deep Learning Models for Dynamic Warm-Up Iteration Optimization in Performance Testing","publication_year":2025,"publication_date":"2025-07-16","ids":{"openalex":"https://openalex.org/W4415743713","doi":"https://doi.org/10.1109/qrs-c65679.2025.00040"},"language":null,"primary_location":{"id":"doi:10.1109/qrs-c65679.2025.00040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qrs-c65679.2025.00040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 25th International Conference on Software Quality, Reliability, and Security Companion (QRS-C)","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/A5100363544","display_name":"Long Zhang","orcid":"https://orcid.org/0000-0002-8935-1311"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Long Zhang","raw_affiliation_strings":["Hangzhou Dianzi University,College of Computer Science and Technology,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028893244","display_name":"Jie Chen","orcid":"https://orcid.org/0009-0009-8412-1400"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["Hangzhou Dianzi University,College of Computer Science and Technology,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101782032","display_name":"Shijie Li","orcid":"https://orcid.org/0000-0002-0529-0057"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijie Li","raw_affiliation_strings":["China Southern Power Grid Company Limited,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"China Southern Power Grid Company Limited,Guangzhou,China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101835805","display_name":"Jun Hu","orcid":"https://orcid.org/0000-0001-9239-7591"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Hu","raw_affiliation_strings":["Institute of Software Chinese Academy of Sciences,State Key Laboratory of Intelligent Game,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Institute of Software Chinese Academy of Sciences,State Key Laboratory of Intelligent Game,Beijing,China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042936370","display_name":"Dongjin Yu","orcid":"https://orcid.org/0000-0001-8919-1613"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongjin Yu","raw_affiliation_strings":["Hangzhou Dianzi University,College of Computer Science and Technology,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100363544"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36414765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"258","last_page":"267"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.913100004196167,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12127","display_name":"Software System Performance and Reliability","score":0.913100004196167,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.07500000298023224,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.0010999999940395355,"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/workflow","display_name":"Workflow","score":0.6700000166893005},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5514000058174133},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5490999817848206},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5128999948501587},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.46880000829696655},{"id":"https://openalex.org/keywords/software-performance-testing","display_name":"Software performance testing","score":0.4196000099182129},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.385699987411499},{"id":"https://openalex.org/keywords/java","display_name":"Java","score":0.35280001163482666}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.879800021648407},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6700000166893005},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5514000058174133},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5490999817848206},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5128999948501587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5051000118255615},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.46880000829696655},{"id":"https://openalex.org/C178059732","wikidata":"https://www.wikidata.org/wiki/Q1982529","display_name":"Software performance testing","level":5,"score":0.4196000099182129},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.414000004529953},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.385699987411499},{"id":"https://openalex.org/C548217200","wikidata":"https://www.wikidata.org/wiki/Q251","display_name":"Java","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.296999990940094},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.29190000891685486},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C19012869","wikidata":"https://www.wikidata.org/wiki/Q578372","display_name":"Response time","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/qrs-c65679.2025.00040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qrs-c65679.2025.00040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 25th International Conference on Software Quality, Reliability, and Security Companion (QRS-C)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320323192","display_name":"China Southern Power Grid","ror":"https://ror.org/03hkh9419"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1825242443","https://openalex.org/W1857789879","https://openalex.org/W1965555277","https://openalex.org/W1973754282","https://openalex.org/W2013901208","https://openalex.org/W2081357937","https://openalex.org/W2159614205","https://openalex.org/W2551393996","https://openalex.org/W2605807148","https://openalex.org/W2606496611","https://openalex.org/W2767269462","https://openalex.org/W2968631515","https://openalex.org/W2982438846","https://openalex.org/W3006649941","https://openalex.org/W3108371183","https://openalex.org/W3204585160","https://openalex.org/W4200249747","https://openalex.org/W4251988601","https://openalex.org/W4285121201","https://openalex.org/W4298872162","https://openalex.org/W4307789634","https://openalex.org/W4317646098","https://openalex.org/W4384345655","https://openalex.org/W4393105414"],"related_works":[],"abstract_inverted_index":{"Microbenchmarking":[0],"is":[1],"a":[2,104,116,123],"critical":[3],"method":[4],"in":[5,29,92,144,182,200,205],"software":[6],"performance":[7,14,37,54,202],"engineering":[8],"for":[9],"evaluating":[10],"code":[11,78],"fragments,":[12,79],"detecting":[13],"regressions,":[15],"and":[16,55,121,130,151,188],"validating":[17],"optimizations.":[18],"However,":[19],"the":[20,25,30,40,52,73,113,138,141,195],"warm-up":[21,65,107,142,155,185],"phase":[22,143],"caused":[23],"by":[24],"Just-In-Time":[26],"(JIT)":[27],"compilation":[28],"Java":[31],"Virtual":[32],"Machine":[33],"(JVM)":[34],"introduces":[35],"significant":[36],"fluctuations":[38],"during":[39],"initial":[41],"execution":[42],"of":[43,76,140,154,198],"programs.":[44],"This":[45,147],"makes":[46],"it":[47],"challenging":[48],"to":[49,70,72,81,135],"accurately":[50],"identify":[51],"steady-state":[53,183],"optimize":[56],"testing":[57,159,189,203],"efficiency.":[58],"Traditional":[59],"methods":[60,181],"often":[61],"rely":[62],"on":[63,169],"fixed":[64],"iteration":[66,108],"configurations,":[67],"which":[68],"fail":[69],"adapt":[71],"dynamic":[74],"behavior":[75],"different":[77],"leading":[80],"either":[82],"insufficient":[83],"warm-up,":[84,90],"causing":[85],"inaccurate":[86],"measurements,":[87],"or":[88,163],"excessive":[89],"resulting":[91],"unnecessary":[93],"time":[94,117,190],"consumption.":[95],"To":[96],"address":[97],"these":[98],"issues,":[99],"this":[100],"paper":[101],"proposes":[102],"JMH-WIO,":[103],"deep":[105],"learning-based":[106],"optimization":[109],"method.":[110],"JMH-WIO":[111,178,199],"formulates":[112],"problem":[114],"as":[115],"series":[118],"classification":[119],"task":[120],"employs":[122],"hybrid":[124],"architecture":[125],"combining":[126],"Residual":[127],"Networks":[128,133],"(ResNet)":[129],"Fully":[131],"Convolutional":[132],"(FCN)":[134],"dynamically":[136],"detect":[137],"end":[139],"real":[145],"time.":[146],"approach":[148],"enables":[149],"intelligent":[150],"adaptive":[152],"termination":[153],"iterations,":[156],"significantly":[157],"improving":[158],"efficiency":[160],"while":[161],"maintaining":[162],"enhancing":[164],"result":[165],"accuracy.":[166],"Experimental":[167],"evaluations":[168],"586":[170],"microbenchmarks":[171],"from":[172],"30":[173],"open-source":[174],"projects":[175],"demonstrate":[176],"that":[177],"outperforms":[179],"existing":[180],"classification,":[184],"estimation":[186],"accuracy,":[187],"reduction.":[191],"These":[192],"results":[193],"highlight":[194],"practical":[196],"value":[197],"optimizing":[201],"workflows":[204],"resource-constrained":[206],"environments.":[207]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-31T00:00:00"}