{"id":"https://openalex.org/W7154349667","doi":"https://doi.org/10.48550/arxiv.2604.10884","title":"Ambiguity Detection and Elimination in Automated Executable Process Modeling","display_name":"Ambiguity Detection and Elimination in Automated Executable Process Modeling","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7154349667","doi":"https://doi.org/10.48550/arxiv.2604.10884"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.10884","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10884","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.10884","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031818939","display_name":"Ion Matei","orcid":"https://orcid.org/0000-0001-5555-8130"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Matei, Ion","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085837346","display_name":"Praveen Kumar Menaka Sekar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sekar, Praveen Kumar Menaka","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008380283","display_name":"Maksym Zhenirovskyy","orcid":"https://orcid.org/0000-0002-5478-0669"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenirovskyy, Maksym","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133593808","display_name":"Hon Yung Wong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wong, Hon Yung","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021142594","display_name":"Sayuri Kohmura","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kohmura, Sayuri","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133592325","display_name":"Shinji Hotta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hotta, Shinji","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133554082","display_name":"Akihiro Inomata","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Inomata, Akihiro","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5031818939"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9634000062942505,"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"}},"topics":[{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9634000062942505,"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/T12127","display_name":"Software System Performance and Reliability","score":0.004699999932199717,"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/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.003599999938160181,"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/executable","display_name":"Executable","score":0.7910000085830688},{"id":"https://openalex.org/keywords/business-process-model-and-notation","display_name":"Business Process Model and Notation","score":0.5509999990463257},{"id":"https://openalex.org/keywords/unified-modeling-language","display_name":"Unified Modeling Language","score":0.4837000072002411},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4415999948978424},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.44020000100135803},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.41940000653266907},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3894999921321869},{"id":"https://openalex.org/keywords/process-modeling","display_name":"Process modeling","score":0.36579999327659607},{"id":"https://openalex.org/keywords/model-transformation","display_name":"Model transformation","score":0.36419999599456787}],"concepts":[{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.7910000085830688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7602999806404114},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.5979999899864197},{"id":"https://openalex.org/C179299601","wikidata":"https://www.wikidata.org/wiki/Q1017605","display_name":"Business Process Model and Notation","level":5,"score":0.5509999990463257},{"id":"https://openalex.org/C145644426","wikidata":"https://www.wikidata.org/wiki/Q169411","display_name":"Unified Modeling Language","level":3,"score":0.4837000072002411},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4415999948978424},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.44020000100135803},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.41940000653266907},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.41819998621940613},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3894999921321869},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.36579999327659607},{"id":"https://openalex.org/C2779791154","wikidata":"https://www.wikidata.org/wiki/Q258040","display_name":"Model transformation","level":3,"score":0.36419999599456787},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3637999892234802},{"id":"https://openalex.org/C86610423","wikidata":"https://www.wikidata.org/wiki/Q1925081","display_name":"Metamodeling","level":2,"score":0.35910001397132874},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.35089999437332153},{"id":"https://openalex.org/C207505557","wikidata":"https://www.wikidata.org/wiki/Q4374012","display_name":"Business process modeling","level":4,"score":0.35040000081062317},{"id":"https://openalex.org/C179603123","wikidata":"https://www.wikidata.org/wiki/Q1941921","display_name":"Modeling language","level":3,"score":0.33820000290870667},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.33709999918937683},{"id":"https://openalex.org/C25016198","wikidata":"https://www.wikidata.org/wiki/Q781833","display_name":"Temporal logic","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29490000009536743},{"id":"https://openalex.org/C2779639559","wikidata":"https://www.wikidata.org/wiki/Q7661178","display_name":"Symbolic execution","level":3,"score":0.2921000123023987},{"id":"https://openalex.org/C110251889","wikidata":"https://www.wikidata.org/wiki/Q1569697","display_name":"Model checking","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C130536060","wikidata":"https://www.wikidata.org/wiki/Q592375","display_name":"XPDL","level":4,"score":0.2750000059604645},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.263700008392334},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.25529998540878296}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.10884","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10884","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.10884","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10884","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Automated":[0],"generation":[1,65],"of":[2,81,142],"executable":[3,61,136],"Business":[4],"Process":[5],"Model":[6],"and":[7,66,102,134],"Notation":[8],"(BPMN)":[9],"models":[10,30],"from":[11,77],"natural-language":[12,54],"specifications":[13,138],"is":[14,37,46,128],"increasingly":[15],"enabled":[16],"by":[17],"large":[18],"language":[19],"models.":[20,145],"However,":[21],"ambiguous":[22],"or":[23],"underspecified":[24],"text":[25,106],"can":[26],"yield":[27],"structurally":[28],"valid":[29],"with":[31],"different":[32],"simulated":[33],"behavior.":[34,125],"Our":[35],"goal":[36],"not":[38],"to":[39,50,57,88,98],"prove":[40],"that":[41,73,95,117],"one":[42],"generated":[43],"BPMN":[44,144],"model":[45,124],"semantically":[47],"correct,":[48],"but":[49],"detect":[51],"when":[52],"a":[53,59,70,129],"specification":[55],"fails":[56],"support":[58],"stable":[60],"interpretation":[62],"under":[63],"repeated":[64],"simulation.":[67],"We":[68],"present":[69],"diagnosis-driven":[71],"framework":[72],"detects":[74],"behavioral":[75],"inconsistency":[76],"the":[78,104,118,140],"empirical":[79],"distribution":[80],"key":[82],"performance":[83],"indicators":[84],"(KPIs),":[85],"localizes":[86],"divergence":[87],"gateway":[89],"logic":[90,96],"using":[91],"model-based":[92],"diagnosis,":[93],"maps":[94],"back":[97],"verbatim":[99],"narrative":[100],"segments,":[101],"repairs":[103],"source":[105],"through":[107],"evidence-based":[108],"refinement.":[109],"Experiments":[110],"on":[111],"diabetic":[112],"nephropathy":[113],"health-guidance":[114],"policies":[115],"show":[116],"method":[119],"reduces":[120],"variability":[121],"in":[122,139],"regenerated":[123],"The":[126],"result":[127],"closed-loop":[130],"approach":[131],"for":[132],"validating":[133],"repairing":[135],"process":[137],"absence":[141],"ground-truth":[143]},"counts_by_year":[],"updated_date":"2026-04-15T06:04:33.058270","created_date":"2026-04-15T00:00:00"}