{"id":"https://openalex.org/W7155378384","doi":"https://doi.org/10.1145/3777884.3797014","title":"B-Perf: Black-box Performance Antipattern Detection Using System-level Execution Tracing","display_name":"B-Perf: Black-box Performance Antipattern Detection Using System-level Execution Tracing","publication_year":2026,"publication_date":"2026-04-23","ids":{"openalex":"https://openalex.org/W7155378384","doi":"https://doi.org/10.1145/3777884.3797014"},"language":null,"primary_location":{"id":"doi:10.1145/3777884.3797014","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3777884.3797014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM/SPEC International Conference on Performance Engineering","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/A5048104520","display_name":"Morteza Noferesti","orcid":"https://orcid.org/0009-0000-5507-1461"},"institutions":[{"id":"https://openalex.org/I186803428","display_name":"Brock University","ror":"https://ror.org/056am2717","country_code":"CA","type":"education","lineage":["https://openalex.org/I186803428"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Morteza Noferesti","raw_affiliation_strings":["Computer Science, Brock University, ST CATHARINES, ON, Canada"],"raw_orcid":"https://orcid.org/0009-0000-5507-1461","affiliations":[{"raw_affiliation_string":"Computer Science, Brock University, ST CATHARINES, ON, Canada","institution_ids":["https://openalex.org/I186803428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034317714","display_name":"Mahsa Panahandeh","orcid":"https://orcid.org/0000-0002-6369-8982"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mahsa Panahandeh","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-6369-8982","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019537475","display_name":"Naser Ezzati\u2010Jivan","orcid":"https://orcid.org/0000-0003-1435-6297"},"institutions":[{"id":"https://openalex.org/I186803428","display_name":"Brock University","ror":"https://ror.org/056am2717","country_code":"CA","type":"education","lineage":["https://openalex.org/I186803428"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Naser Ezzati-Jivan","raw_affiliation_strings":["Computer Science, Brock University, ST CATHARINES, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0003-1435-6297","affiliations":[{"raw_affiliation_string":"Computer Science, Brock University, ST CATHARINES, ON, Canada","institution_ids":["https://openalex.org/I186803428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048104520"],"corresponding_institution_ids":["https://openalex.org/I186803428"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.91061107,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"96","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9671000242233276,"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":0.9671000242233276,"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/T11424","display_name":"Security and Verification in Computing","score":0.00430000014603138,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10933","display_name":"Real-Time Systems Scheduling","score":0.003800000064074993,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/tracing","display_name":"Tracing","score":0.6912999749183655},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.6866999864578247},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5601000189781189},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5478000044822693},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5386999845504761},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5069000124931335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.734499990940094},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.6912999749183655},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.6866999864578247},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5601000189781189},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5478000044822693},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5386999845504761},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5069000124931335},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4977000057697296},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.42559999227523804},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3970000147819519},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29649999737739563},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2897999882698059},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2802000045776367}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3777884.3797014","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3777884.3797014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM/SPEC International Conference on Performance Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W136542355","https://openalex.org/W1866240378","https://openalex.org/W1991718349","https://openalex.org/W2012886500","https://openalex.org/W2093608228","https://openalex.org/W2098328532","https://openalex.org/W2108086273","https://openalex.org/W2144788252","https://openalex.org/W2316373185","https://openalex.org/W2399430096","https://openalex.org/W2567479428","https://openalex.org/W2605883949","https://openalex.org/W2772404169","https://openalex.org/W2900538539","https://openalex.org/W2981836045","https://openalex.org/W3047564823","https://openalex.org/W3101288824","https://openalex.org/W3217769395","https://openalex.org/W4312346306","https://openalex.org/W4400681471"],"related_works":[],"abstract_inverted_index":{"Performance":[0],"antipatterns":[1],"capture":[2],"recurring":[3],"behaviours":[4],"that":[5,28],"degrade":[6],"software":[7],"efficiency.":[8],"Black-box":[9],"approaches":[10],"aim":[11],"to":[12],"detect":[13],"such":[14],"issues":[15],"without":[16],"modifying":[17],"the":[18,65],"application.":[19],"This":[20],"paper":[21],"presents":[22],"B-Perf,":[23],"a":[24,68],"system-level":[25],"black-box":[26],"method":[27],"reconstructs":[29],"execution,":[30],"memory,":[31],"and":[32,42,50,58,77],"messaging":[33],"behaviour":[34],"from":[35],"kernel-level":[36],"traces.":[37],"By":[38],"analysing":[39],"scheduling,":[40],"allocation,":[41],"communication":[43],"events,":[44],"B-Perf":[45],"derives":[46],"workload-dependent":[47],"behavioural":[48],"trends":[49],"reports":[51],"antipattern":[52,78],"indicators":[53],"grounded":[54],"in":[55],"resource":[56],"usage":[57],"contention.":[59],"To":[60],"handle":[61],"large":[62],"trace":[63,75],"volumes,":[64],"approach":[66],"follows":[67],"pipeline":[69],"of":[70],"workload":[71],"generation,":[72],"event":[73],"gathering,":[74],"handling,":[76],"inference.":[79]},"counts_by_year":[],"updated_date":"2026-05-01T06:04:38.248271","created_date":"2026-04-24T00:00:00"}
