{"id":"https://openalex.org/W4404952882","doi":"https://doi.org/10.1109/issrew63542.2024.00042","title":"Auto-PIP: Real-time Identification of Critical Performance Inflection Points in Software Stress Testing","display_name":"Auto-PIP: Real-time Identification of Critical Performance Inflection Points in Software Stress Testing","publication_year":2024,"publication_date":"2024-10-28","ids":{"openalex":"https://openalex.org/W4404952882","doi":"https://doi.org/10.1109/issrew63542.2024.00042"},"language":"en","primary_location":{"id":"doi:10.1109/issrew63542.2024.00042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/issrew63542.2024.00042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 35th International Symposium on Software Reliability Engineering Workshops (ISSREW)","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/A5072210083","display_name":"Shenglin Zhang","orcid":"https://orcid.org/0000-0003-0330-0028"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenglin Zhang","raw_affiliation_strings":["Nankai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nankai University","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074391012","display_name":"Xiao Xiong","orcid":"https://orcid.org/0000-0002-5456-873X"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Xiong","raw_affiliation_strings":["Nankai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nankai University","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393522","display_name":"Mengyao Li","orcid":"https://orcid.org/0000-0002-7054-448X"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyao Li","raw_affiliation_strings":["Nankai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nankai University","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100567716","display_name":"Yongqian Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongqian Sun","raw_affiliation_strings":["Nankai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nankai University","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103286616","display_name":"Y. Zhao","orcid":"https://orcid.org/0009-0005-6603-3539"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxin Zhao","raw_affiliation_strings":["Nankai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nankai University","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xia Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xia Chen","raw_affiliation_strings":["Huawei Cloud"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Cloud","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073074012","display_name":"Bowen Deng","orcid":"https://orcid.org/0000-0002-2736-9575"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bowen Deng","raw_affiliation_strings":["Huawei Cloud"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Cloud","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046419834","display_name":"Dan Pei","orcid":"https://orcid.org/0000-0002-5113-838X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Pei","raw_affiliation_strings":["Tsinghua University, Beijing National Research Center for Information Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing National Research Center for Information Science and Technology","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9995999932289124,"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":0.9995999932289124,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9940000176429749,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9934999942779541,"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/stress-testing","display_name":"Stress testing (software)","score":0.6435432434082031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6256000399589539},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.5782797932624817},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5723147988319397},{"id":"https://openalex.org/keywords/inflection-point","display_name":"Inflection point","score":0.5708701610565186},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.45613983273506165},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.16968917846679688},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09342938661575317}],"concepts":[{"id":"https://openalex.org/C7515471","wikidata":"https://www.wikidata.org/wiki/Q1936882","display_name":"Stress testing (software)","level":2,"score":0.6435432434082031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6256000399589539},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.5782797932624817},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5723147988319397},{"id":"https://openalex.org/C74545648","wikidata":"https://www.wikidata.org/wiki/Q212794","display_name":"Inflection point","level":2,"score":0.5708701610565186},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.45613983273506165},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.16968917846679688},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09342938661575317},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/issrew63542.2024.00042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/issrew63542.2024.00042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 35th International Symposium on Software Reliability Engineering Workshops (ISSREW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1981055536","https://openalex.org/W2115827107","https://openalex.org/W2502254989","https://openalex.org/W2743617586","https://openalex.org/W2785362611","https://openalex.org/W2886026581","https://openalex.org/W2913006997","https://openalex.org/W2917771487","https://openalex.org/W2918465401","https://openalex.org/W2934344822","https://openalex.org/W2944981198","https://openalex.org/W2946491813","https://openalex.org/W2947096836","https://openalex.org/W2948978827","https://openalex.org/W2969196974","https://openalex.org/W2979971077","https://openalex.org/W2984432074","https://openalex.org/W3013549289","https://openalex.org/W3041988265","https://openalex.org/W3093996840","https://openalex.org/W3094486383","https://openalex.org/W3098957257","https://openalex.org/W3148181069","https://openalex.org/W3164952570","https://openalex.org/W3165950449","https://openalex.org/W4214600424"],"related_works":["https://openalex.org/W2361205043","https://openalex.org/W2023911433","https://openalex.org/W2798126247","https://openalex.org/W2370760154","https://openalex.org/W2355513343","https://openalex.org/W2488531810","https://openalex.org/W2950363176","https://openalex.org/W2380470393","https://openalex.org/W4298245680","https://openalex.org/W2387378773"],"abstract_inverted_index":{"Conducting":[0],"stress":[1,77],"testing":[2,82],"is":[3,28],"essential":[4],"to":[5,89,141,144],"ensure":[6],"the":[7,19,23,106,139,142],"stability":[8],"and":[9,39,94,105,125],"performance":[10,32,66,72,76],"of":[11,22,48],"software":[12],"systems":[13],"post-launch.":[14],"Among":[15],"its":[16],"various":[17],"aspects,":[18],"real-time":[20,49],"identification":[21,63],"\"Smooth":[24],"Load":[25],"Area\"":[26],"(SLA)":[27],"crucial":[29],"for":[30,65],"establishing":[31],"benchmarks,":[33],"identifying":[34],"bottlenecks,":[35],"guiding":[36],"optimization":[37],"strategies,":[38],"strategically":[40],"allocating":[41],"resources.":[42],"However,":[43],"existing":[44],"methods":[45],"are":[46],"incapable":[47],"inflection":[50,67,117],"point":[51,118,130],"detection":[52,87],"or":[53],"require":[54],"manual":[55],"intervention.":[56],"This":[57],"paper":[58],"proposes":[59],"Auto-PIP,":[60],"an":[61],"automated":[62],"framework":[64],"points":[68,93],"based":[69],"on":[70],"key":[71],"indicators":[73],"(KPIs)":[74],"during":[75],"tests.":[78],"Auto-PIP":[79,98,111],"integrates":[80],"trend":[81],"algorithms":[83,88],"with":[84],"unsupervised":[85],"anomaly":[86],"identify":[90],"optimal":[91,116],"operating":[92],"estimate":[95],"maximum":[96,129],"capacity.":[97],"has":[99],"been":[100],"deployed":[101],"in":[102,115,128],"Huawei":[103],"Cloud,":[104],"evaluation":[107],"results":[108],"show":[109],"that":[110],"demonstrated":[112],"100%":[113],"accuracy":[114,127],"detection,":[119],"a":[120,132],"41.7%":[121],"leap":[122],"over":[123],"baselines,":[124],"83.9%":[126],"identification,":[131],"10.7%":[133],"gain.":[134],"Additionally,":[135],"we":[136],"have":[137],"released":[138],"dataset":[140],"public":[143],"promote":[145],"ongoing":[146],"research.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}