{"id":"https://openalex.org/W2041838121","doi":"https://doi.org/10.1145/1134285.1134340","title":"Traffic-aware stress testing of distributed systems based on UML models","display_name":"Traffic-aware stress testing of distributed systems based on UML models","publication_year":2006,"publication_date":"2006-05-28","ids":{"openalex":"https://openalex.org/W2041838121","doi":"https://doi.org/10.1145/1134285.1134340","mag":"2041838121"},"language":"en","primary_location":{"id":"doi:10.1145/1134285.1134340","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1134285.1134340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th international conference on Software engineering","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/A5000712015","display_name":"Vahid Garousi","orcid":"https://orcid.org/0000-0001-6590-7576"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Vahid Garousi","raw_affiliation_strings":["Carleton University, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078533117","display_name":"Lionel Briand","orcid":"https://orcid.org/0000-0002-1393-1010"},"institutions":[{"id":"https://openalex.org/I2799829267","display_name":"Simula Research Laboratory","ror":"https://ror.org/00vn06n10","country_code":"NO","type":"facility","lineage":["https://openalex.org/I2799829267"]},{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA","NO"],"is_corresponding":false,"raw_author_name":"Lionel C. Briand","raw_affiliation_strings":["Carleton University, Ottawa, ON, Canada and Simula Research Laboratory, Lysaker, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University, Ottawa, ON, Canada and Simula Research Laboratory, Lysaker, Norway","institution_ids":["https://openalex.org/I2799829267","https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007057846","display_name":"Yvan Labiche","orcid":"https://orcid.org/0000-0001-8880-4836"},"institutions":[{"id":"https://openalex.org/I2799829267","display_name":"Simula Research Laboratory","ror":"https://ror.org/00vn06n10","country_code":"NO","type":"facility","lineage":["https://openalex.org/I2799829267"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Yvan Labiche","raw_affiliation_strings":["Simula Research Laboratory, Lysaker, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simula Research Laboratory, Lysaker, Norway","institution_ids":["https://openalex.org/I2799829267"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"391","last_page":"400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/unified-modeling-language","display_name":"Unified Modeling Language","score":0.7369979023933411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6816843152046204},{"id":"https://openalex.org/keywords/sequence-diagram","display_name":"Sequence diagram","score":0.5194541811943054},{"id":"https://openalex.org/keywords/stress-testing","display_name":"Stress testing (software)","score":0.48689261078834534},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.46167492866516113},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.451386034488678},{"id":"https://openalex.org/keywords/data-flow-diagram","display_name":"Data flow diagram","score":0.4394236207008362},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4364608824253082},{"id":"https://openalex.org/keywords/stress-test","display_name":"Stress test","score":0.43429940938949585},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.428444504737854},{"id":"https://openalex.org/keywords/scenario-testing","display_name":"Scenario testing","score":0.41523969173431396},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.4128456711769104},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.16090211272239685},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10871770977973938},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.0969628393650055},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09220489859580994},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.0851888358592987}],"concepts":[{"id":"https://openalex.org/C145644426","wikidata":"https://www.wikidata.org/wiki/Q169411","display_name":"Unified Modeling Language","level":3,"score":0.7369979023933411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6816843152046204},{"id":"https://openalex.org/C153185123","wikidata":"https://www.wikidata.org/wiki/Q1391624","display_name":"Sequence diagram","level":4,"score":0.5194541811943054},{"id":"https://openalex.org/C7515471","wikidata":"https://www.wikidata.org/wiki/Q1936882","display_name":"Stress testing (software)","level":2,"score":0.48689261078834534},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.46167492866516113},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.451386034488678},{"id":"https://openalex.org/C489000","wikidata":"https://www.wikidata.org/wiki/Q747385","display_name":"Data flow diagram","level":2,"score":0.4394236207008362},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4364608824253082},{"id":"https://openalex.org/C2779201015","wikidata":"https://www.wikidata.org/wiki/Q1308919","display_name":"Stress test","level":2,"score":0.43429940938949585},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.428444504737854},{"id":"https://openalex.org/C80519477","wikidata":"https://www.wikidata.org/wiki/Q3532236","display_name":"Scenario testing","level":3,"score":0.41523969173431396},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.4128456711769104},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.16090211272239685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10871770977973938},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0969628393650055},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09220489859580994},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.0851888358592987},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.0},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1134285.1134340","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1134285.1134340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th international conference on Software engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W597277802","https://openalex.org/W1536674025","https://openalex.org/W1537432317","https://openalex.org/W1548515584","https://openalex.org/W1602672367","https://openalex.org/W2025618033","https://openalex.org/W2030124341","https://openalex.org/W2036838567","https://openalex.org/W2057281134","https://openalex.org/W2075194837","https://openalex.org/W2077658674","https://openalex.org/W2101748541","https://openalex.org/W2109592244","https://openalex.org/W2109926023","https://openalex.org/W2114067856","https://openalex.org/W2123009355","https://openalex.org/W2126637194","https://openalex.org/W2150451270","https://openalex.org/W2158001503","https://openalex.org/W2159416255","https://openalex.org/W2161484642","https://openalex.org/W2163931728","https://openalex.org/W2615300779","https://openalex.org/W3163167751","https://openalex.org/W4285719527","https://openalex.org/W6681750758"],"related_works":["https://openalex.org/W4232137370","https://openalex.org/W1984980889","https://openalex.org/W4253534816","https://openalex.org/W3126046003","https://openalex.org/W2751177627","https://openalex.org/W3123284799","https://openalex.org/W3125813052","https://openalex.org/W4243864492","https://openalex.org/W3032993990","https://openalex.org/W118440498"],"abstract_inverted_index":{"A":[0],"stress":[1,52,76,82,103,140,151],"test":[2,53,104,141,152,170],"methodology":[3],"aimed":[4],"at":[5,107,162],"increasing":[6],"chances":[7],"of":[8,27,43,58,74,85],"discovering":[9],"faults":[10,166],"related":[11],"to":[12,69,99,102,169],"network":[13,115,164],"traffic":[14,112],"in":[15,47],"distributed":[16,29,87,121,130],"systems":[17],"is":[18,38,97,116,158],"presented.":[19],"The":[20,150],"technique":[21,78,157],"uses":[22],"the":[23,28,44,105,108,139,156],"UML":[24],"2.0":[25],"model":[26],"system":[30,106,122,131],"under":[31],"test,":[32],"augmented":[33],"with":[34,64],"timing":[35],"information,":[36],"and":[37,89,101,126,132,145],"based":[39,172],"on":[40,93,113,173],"an":[41,174],"analysis":[42],"control":[45,60],"flow":[46,61],"sequence":[48],"diagrams.":[49],"It":[50],"yields":[51],"requirements":[54],"that":[55,96,135,155],"are":[56,143],"made":[57],"specific":[59],"paths":[62],"along":[63],"time":[65],"values":[66],"indicating":[67],"when":[68,110,167],"trigger":[70],"them.":[71],"Different":[72],"variants":[73],"our":[75,148],"testing":[77],"already":[79],"exist":[80],"(they":[81],"different":[83],"aspects":[84],"a":[86,114,119,128],"system)":[88],"we":[90,124],"focus":[91],"here":[92],"one":[94],"variant":[95],"designed":[98],"identify":[100],"instant":[109],"data":[111],"maximal.":[117],"Using":[118],"real-world":[120],"specification,":[123],"design":[125],"implement":[127],"prototype":[129],"describe,":[133],"for":[134],"particular":[136],"system,":[137],"how":[138],"cases":[142,171],"derived":[144],"executed":[146],"using":[147],"methodology.":[149],"results":[153],"indicate":[154],"significantly":[159],"more":[160],"effective":[161],"detecting":[163],"traffic-related":[165],"compared":[168],"operational":[175],"profile.":[176]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}