{"id":"https://openalex.org/W2013676002","doi":"https://doi.org/10.1145/1811147.1811149","title":"Generating transformation rules from examples for behavioral models","display_name":"Generating transformation rules from examples for behavioral models","publication_year":2010,"publication_date":"2010-06-15","ids":{"openalex":"https://openalex.org/W2013676002","doi":"https://doi.org/10.1145/1811147.1811149","mag":"2013676002"},"language":"en","primary_location":{"id":"doi:10.1145/1811147.1811149","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1811147.1811149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Workshop on Behaviour Modelling: Foundation 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/A5024207305","display_name":"Marouane Kessentini","orcid":null},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Marouane Kessentini","raw_affiliation_strings":["Universit\u00e9 de Montr\u00e9al, Canada","Universite de Montreal (Canada)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I70931966"]},{"raw_affiliation_string":"Universite de Montreal (Canada)","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023093639","display_name":"Manuel Wimmer","orcid":"https://orcid.org/0000-0002-1124-7098"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Manuel Wimmer","raw_affiliation_strings":["Vienna University of Technology, Austria","Vienna University of Technology; Austria"],"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Vienna University of Technology; Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009574640","display_name":"Houari Sahraoui","orcid":"https://orcid.org/0000-0001-6304-9926"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Houari Sahraoui","raw_affiliation_strings":["Universit\u00e9 de Montr\u00e9al, Canada","Universite de Montreal (Canada)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I70931966"]},{"raw_affiliation_string":"Universite de Montreal (Canada)","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057702106","display_name":"Mounir Boukadoum","orcid":"https://orcid.org/0000-0002-4894-2350"},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mounir Boukadoum","raw_affiliation_strings":["Universit\u00e9 du Qu\u00e9bec a Montr\u00e9al, Canada"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 du Qu\u00e9bec a Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I159129438"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024207305"],"corresponding_institution_ids":["https://openalex.org/I70931966"],"apc_list":null,"apc_paid":null,"fwci":2.7526,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.90087572,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.9998999834060669,"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/T10703","display_name":"Business Process Modeling and Analysis","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.9977999925613403,"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/computer-science","display_name":"Computer science","score":0.7820559740066528},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5325701832771301},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.48329785466194153},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4758058488368988},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4667297601699829},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4660068154335022},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44252192974090576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4342077672481537},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.4216485619544983},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32566529512405396},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2227361500263214}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7820559740066528},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5325701832771301},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.48329785466194153},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4758058488368988},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4667297601699829},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4660068154335022},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44252192974090576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4342077672481537},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.4216485619544983},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32566529512405396},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2227361500263214},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1811147.1811149","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1811147.1811149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Workshop on Behaviour Modelling: Foundation and Applications","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":37,"referenced_works":["https://openalex.org/W46093711","https://openalex.org/W46772962","https://openalex.org/W112030299","https://openalex.org/W1503936823","https://openalex.org/W1527115930","https://openalex.org/W1535346311","https://openalex.org/W1547552450","https://openalex.org/W1589724738","https://openalex.org/W1759712729","https://openalex.org/W1978613757","https://openalex.org/W1982107291","https://openalex.org/W1996109622","https://openalex.org/W1996881133","https://openalex.org/W2024060531","https://openalex.org/W2053369452","https://openalex.org/W2087327214","https://openalex.org/W2092382400","https://openalex.org/W2093056009","https://openalex.org/W2094235682","https://openalex.org/W2094337727","https://openalex.org/W2126385963","https://openalex.org/W2130877788","https://openalex.org/W2146136779","https://openalex.org/W2148591238","https://openalex.org/W2152195021","https://openalex.org/W2159720139","https://openalex.org/W2159765281","https://openalex.org/W2165203881","https://openalex.org/W2168076257","https://openalex.org/W2169954581","https://openalex.org/W2178641308","https://openalex.org/W2185674212","https://openalex.org/W2536107053","https://openalex.org/W2543580944","https://openalex.org/W2585899516","https://openalex.org/W2655966630","https://openalex.org/W4241212268"],"related_works":["https://openalex.org/W2025427163","https://openalex.org/W2392013129","https://openalex.org/W2113777112","https://openalex.org/W2884994975","https://openalex.org/W1983494896","https://openalex.org/W2357727223","https://openalex.org/W2067147118","https://openalex.org/W2153172467","https://openalex.org/W2002077985","https://openalex.org/W2991618286"],"abstract_inverted_index":{"Behavioral":[0],"UML":[1],"models":[2,35,53,166],"like":[3,54],"sequence":[4],"diagrams":[5],"(SD)":[6],"lack":[7],"sufficient":[8],"formal":[9,38],"semantics,":[10],"making":[11],"it":[12,152],"difficult":[13],"to":[14,27,32,36,49,101,114,126,146,167,221],"build":[15],"automated":[16,112],"tools":[17],"for":[18,65,196],"their":[19],"analysis,":[20],"simulation":[21],"and":[22,184,198,206],"validation.":[23],"A":[24],"common":[25],"approach":[26,48,113,135],"circumvent":[28],"the":[29,63,74,89,116,121,130,154,157,163,168,172,179,215,222],"problem":[30],"is":[31,182,186],"map":[33],"these":[34],"more":[37],"representations.":[39],"In":[40,176],"this":[41,107,177],"context,":[42],"many":[43],"works":[44],"propose":[45,83],"a":[46,84,140],"rule-based":[47],"automatically":[50,102],"translate":[51],"behavioral":[52],"SD":[55,125],"into":[56],"colored":[57],"Petri":[58],"nets":[59],"(CPN).":[60],"However,":[61],"finding":[62],"rules":[64,76,117,217],"such":[66],"SD-to-CPN":[67,97],"transformations":[68],"manually":[69],"may":[70],"be":[71,99],"difficult,":[72],"as":[73],"transformation":[75,95,104],"are":[77],"usually":[78],"not":[79],"obviously":[80],"defined.":[81],"We":[82],"solution":[85,159],"that":[86,91,118,214],"starts":[87,136],"from":[88],"hypothesis":[90],"examples":[92],"of":[93,96,124,142,156,174],"good":[94],"can":[98],"useful":[100],"generate":[103,147],"rules.":[105],"To":[106,188],"end,":[108],"we":[109,192],"describe":[110],"an":[111],"find":[115],"best":[119],"match":[120],"meta-model":[122],"elements":[123,128],"corresponding":[127],"in":[129,171],"CPN":[131],"meta-model.":[132],"Thus,":[133],"our":[134,190],"by":[137,161],"randomly":[138],"generating":[139],"set":[141],"rules,":[143],"executing":[144],"them":[145],"some":[148],"target":[149,165],"models.":[150],"Then,":[151],"evaluates":[153],"quality":[155],"proposed":[158],"(rules)":[160],"comparing":[162],"generated":[164,216],"expected":[169,223],"ones":[170],"base":[173],"examples.":[175],"case,":[178],"search":[180],"space":[181],"large":[183],"heuristic-search":[185],"needed.":[187],"achieve":[189],"goal,":[191],"combine":[193],"two":[194],"algorithms":[195],"global":[197],"local":[199],"search,":[200],"namely":[201],"Particle":[202],"Swarm":[203],"Optimization":[204],"(PSO)":[205],"Simulated":[207],"Annealing":[208],"(SA).":[209],"Our":[210],"empirical":[211],"results":[212],"show":[213],"derive":[218],"CPNs":[219],"similar":[220],"ones.":[224]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}