{"id":"https://openalex.org/W2092660561","doi":"https://doi.org/10.1145/1094811.1094834","title":"Automating vertical profiling","display_name":"Automating vertical profiling","publication_year":2005,"publication_date":"2005-10-12","ids":{"openalex":"https://openalex.org/W2092660561","doi":"https://doi.org/10.1145/1094811.1094834","mag":"2092660561"},"language":"en","primary_location":{"id":"doi:10.1145/1094811.1094834","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1094811.1094834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications","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/A5078770676","display_name":"Matthias Hauswirth","orcid":"https://orcid.org/0000-0001-5527-5931"},"institutions":[{"id":"https://openalex.org/I2802236040","display_name":"University of Colorado System","ror":"https://ror.org/00jc20583","country_code":"US","type":"education","lineage":["https://openalex.org/I2802236040"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Matthias Hauswirth","raw_affiliation_strings":["University of Colorado at Boulder"],"affiliations":[{"raw_affiliation_string":"University of Colorado at Boulder","institution_ids":["https://openalex.org/I2802236040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059100099","display_name":"Amer Diwan","orcid":null},"institutions":[{"id":"https://openalex.org/I2802236040","display_name":"University of Colorado System","ror":"https://ror.org/00jc20583","country_code":"US","type":"education","lineage":["https://openalex.org/I2802236040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amer Diwan","raw_affiliation_strings":["University of Colorado at Boulder"],"affiliations":[{"raw_affiliation_string":"University of Colorado at Boulder","institution_ids":["https://openalex.org/I2802236040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103562228","display_name":"Peter F. Sweeney","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter F. Sweeney","raw_affiliation_strings":["IBM Thomas J. Watson Research Center","IBM Thomas J. watson Research Center"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM Thomas J. watson Research Center","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047726287","display_name":"Michael C. Mozer","orcid":"https://orcid.org/0000-0002-9654-0575"},"institutions":[{"id":"https://openalex.org/I2802236040","display_name":"University of Colorado System","ror":"https://ror.org/00jc20583","country_code":"US","type":"education","lineage":["https://openalex.org/I2802236040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael C. Mozer","raw_affiliation_strings":["University of Colorado at Boulder"],"affiliations":[{"raw_affiliation_string":"University of Colorado at Boulder","institution_ids":["https://openalex.org/I2802236040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078770676"],"corresponding_institution_ids":["https://openalex.org/I2802236040"],"apc_list":null,"apc_paid":null,"fwci":4.9244,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.95547437,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"281","last_page":"296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":1.0,"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":1.0,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9944999814033508,"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/T10260","display_name":"Software Engineering Research","score":0.9930999875068665,"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/computer-science","display_name":"Computer science","score":0.8711787462234497},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.8147940635681152},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.5153898000717163},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4697214663028717},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.45945554971694946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.371200293302536},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13741439580917358}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8711787462234497},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.8147940635681152},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.5153898000717163},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4697214663028717},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.45945554971694946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.371200293302536},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13741439580917358},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1094811.1094834","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1094811.1094834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.163.6026","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.163.6026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.inf.unisi.ch/faculty/hauswirth/publications/oopsla05.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W39942585","https://openalex.org/W116902681","https://openalex.org/W166831922","https://openalex.org/W1538161032","https://openalex.org/W1544432721","https://openalex.org/W1565608745","https://openalex.org/W1583642359","https://openalex.org/W1823898179","https://openalex.org/W1829288025","https://openalex.org/W1864972570","https://openalex.org/W1987944770","https://openalex.org/W2008697994","https://openalex.org/W2027773381","https://openalex.org/W2053885966","https://openalex.org/W2058148593","https://openalex.org/W2098984303","https://openalex.org/W2099000434","https://openalex.org/W2107633943","https://openalex.org/W2132585078","https://openalex.org/W2135102985","https://openalex.org/W2138738723","https://openalex.org/W2146509778","https://openalex.org/W2157154549","https://openalex.org/W2158182626","https://openalex.org/W2167613218","https://openalex.org/W2223702412","https://openalex.org/W2797431976","https://openalex.org/W2912686856","https://openalex.org/W4230633436","https://openalex.org/W4244600007","https://openalex.org/W4298865289","https://openalex.org/W7075667889"],"related_works":["https://openalex.org/W2030799363","https://openalex.org/W2950183183","https://openalex.org/W2341338763","https://openalex.org/W2288425735","https://openalex.org/W2349923317","https://openalex.org/W2894081631","https://openalex.org/W2986063033","https://openalex.org/W2040439981","https://openalex.org/W2472888994","https://openalex.org/W1791724651"],"abstract_inverted_index":{"Last":[0],"year":[1],"at":[2],"OOPSLA":[3],"we":[4,39,74,143,162,170,185],"presented":[5],"a":[6,132,135],"methodology,":[7],"vertical":[8,85,193],"profiling,":[9,194],"for":[10,79,157,168],"understanding":[11],"the":[12,105,190,201],"performance":[13,64,136,202],"of":[14,30,84,111,125,138,192],"object-oriented":[15],"programs.":[16],"The":[17],"key":[18],"insight":[19],"behind":[20],"this":[21,72],"methodology":[22,57],"is":[23],"that":[24,100,115,130,145],"modern":[25],"programs":[26],"run":[27],"on":[28,134,175],"top":[29],"many":[31],"layers":[32,48],"(virtual":[33],"machine,":[34],"middleware,":[35],"etc)":[36],"and":[37,43,76,89,117,167,180],"thus":[38],"need":[40],"to":[41,51,60,127],"collect":[42],"combine":[44],"information":[45],"from":[46,96],"all":[47],"in":[49,189,200],"order":[50],"understand":[52],"system":[53],"performance.":[54],"Although":[55,184],"our":[56],"was":[58,67,148],"able":[59],"explain":[61],"previously":[62],"unexplained":[63],"phenomena,":[65],"it":[66],"extremely":[68],"labor":[69],"intensive.":[70],"In":[71,140],"paper":[73],"describe":[75],"evaluate":[77],"techniques":[78],"automating":[80],"two":[81],"significant":[82],"activities":[83,188,196],"profiling:":[86],"trace":[87],"alignment":[88,92],"correlation.":[90],"Trace":[91],"aligns":[93,119],"traces":[94,161],"obtained":[95],"separate":[97],"runs":[98],"so":[99],"one":[101],"can":[102],"reason":[103],"across":[104],"traces.":[106,120],"We":[107,152],"are":[108,197],"not":[109],"aware":[110],"any":[112],"prior":[113,141],"approach":[114],"effectively":[116],"automatically":[118],"Correlation":[121],"sifts":[122],"through":[123],"hundreds":[124],"metrics":[126],"find":[128],"ones":[129],"have":[131,153],"bearing":[133],"anomaly":[137],"interest.":[139],"work":[142],"found":[144],"statistical":[146,176],"correlation":[147,169],"only":[149],"sometimes":[150],"effective.":[151],"identified":[154],"highly-effective":[155],"approaches":[156],"both":[158,195],"activities.For":[159],"aligning":[160],"explore":[163,171,186],"dynamic":[164],"time":[165],"warping,":[166],"eight":[172],"correlators":[173],"based":[174],"correlation,":[177],"distance":[178],"measures,":[179],"piecewise":[181],"linear":[182],"segmentation.":[183],"these":[187],"context":[191],"widely":[198],"applicable":[199],"analysis":[203],"area.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
