{"id":"https://openalex.org/W7131263348","doi":"https://doi.org/10.18420/modellierung2026-06","title":"Dynamic Symbolic Execution of Component-and-Connector Models for Semantic Differencing","display_name":"Dynamic Symbolic Execution of Component-and-Connector Models for Semantic Differencing","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7131263348","doi":"https://doi.org/10.18420/modellierung2026-06"},"language":"en","primary_location":{"id":"pmh:doi:10.18420/modellierung2026-06","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text/Conference Paper"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.18420/modellierung2026-06","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120428985","display_name":"Johanna Grahl","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Grahl, Johanna","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126739923","display_name":"Bernhard Rumpe","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rumpe, Bernhard","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092448719","display_name":"Max Stachon","orcid":"https://orcid.org/0000-0002-6328-3816"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stachon, Max","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5061351788","display_name":"Sebastian St\u00fcber","orcid":"https://orcid.org/0000-0002-6636-9375"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"St\u00fcber, Sebastian","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5120428985"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43423272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.2874000072479248,"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":0.2874000072479248,"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":0.23960000276565552,"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/T10260","display_name":"Software Engineering Research","score":0.1704999953508377,"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/correctness","display_name":"Correctness","score":0.7896999716758728},{"id":"https://openalex.org/keywords/symbolic-execution","display_name":"Symbolic execution","score":0.72079998254776},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5752999782562256},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5616000294685364},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.5282999873161316},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.49889999628067017},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.49630001187324524},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4584999978542328},{"id":"https://openalex.org/keywords/automaton","display_name":"Automaton","score":0.4562000036239624}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8409000039100647},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7896999716758728},{"id":"https://openalex.org/C2779639559","wikidata":"https://www.wikidata.org/wiki/Q7661178","display_name":"Symbolic execution","level":3,"score":0.72079998254776},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5752999782562256},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5616000294685364},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.5282999873161316},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.49889999628067017},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.49630001187324524},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.490200012922287},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4731999933719635},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4584999978542328},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.4562000036239624},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4397999942302704},{"id":"https://openalex.org/C65620979","wikidata":"https://www.wikidata.org/wiki/Q7661176","display_name":"Symbolic data analysis","level":2,"score":0.325300008058548},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C110251889","wikidata":"https://www.wikidata.org/wiki/Q1569697","display_name":"Model checking","level":2,"score":0.3237000107765198},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C82029504","wikidata":"https://www.wikidata.org/wiki/Q4373882","display_name":"Sequential consistency","level":4,"score":0.31709998846054077},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.31450000405311584},{"id":"https://openalex.org/C2776095079","wikidata":"https://www.wikidata.org/wiki/Q489538","display_name":"The Symbolic","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C23123167","wikidata":"https://www.wikidata.org/wiki/Q7661193","display_name":"Symbolic trajectory evaluation","level":3,"score":0.2808000147342682},{"id":"https://openalex.org/C191399111","wikidata":"https://www.wikidata.org/wiki/Q64861","display_name":"Transitive relation","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C111498074","wikidata":"https://www.wikidata.org/wiki/Q173326","display_name":"Formal verification","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C2776834041","wikidata":"https://www.wikidata.org/wiki/Q25346349","display_name":"Execution model","level":2,"score":0.2574000060558319}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.18420/modellierung2026-06","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text/Conference Paper"},{"id":"doi:10.18420/modellierung2026-06","is_oa":true,"landing_page_url":"https://doi.org/10.18420/modellierung2026-06","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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-journal"}],"best_oa_location":{"id":"doi:10.18420/modellierung2026-06","is_oa":true,"landing_page_url":"https://doi.org/10.18420/modellierung2026-06","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"model-driven":[1],"development,":[2],"ensuring":[3],"the":[4,16,39,64],"correctness":[5],"and":[6,29,47,58,83],"consistency":[7],"of":[8,18,27,66],"evolving":[9],"models":[10],"is":[11],"critical.":[12],"This":[13,61],"paper":[14],"explores":[15],"use":[17],"Dynamic":[19],"Symbolic":[20],"Execution":[21],"(DSE)":[22],"for":[23,101],"semantic":[24,91],"difference":[25,92],"analysis":[26],"Component":[28],"Connector":[30],"(C&C)":[31],"architectures,":[32,104],"exemplified":[33],"on":[34,79],"MontiArc":[35],"models.":[36],"We":[37,74],"extended":[38],"existing":[40],"MontiArc-to-Java":[41],"generator":[42],"to":[43],"capture":[44],"both":[45],"symbolic":[46],"concrete":[48],"execution":[49,68,76],"data":[50,62],"at":[51],"runtime,":[52],"including":[53],"transition":[54],"conditions,":[55],"visited":[56],"states,":[57],"automata":[59],"variables.":[60],"enables":[63],"identification":[65],"key":[67],"traces":[69],"that":[70,97],"reveal":[71],"system":[72],"behavior.":[73],"evaluate":[75],"strategies":[77],"based":[78],"runtime":[80],"efficiency,":[81],"minimality,":[82],"completeness.":[84],"Finally,":[85],"we":[86],"asses":[87],"DSE\u2019s":[88],"applicability":[89],"in":[90],"analysis.":[93],"Our":[94],"results":[95],"show":[96],"DSE":[98],"offers":[99],"promise":[100],"analyzing":[102],"component-and-connector":[103],"though":[105],"scalability":[106],"remains":[107],"a":[108],"challenge.":[109]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-25T00:00:00"}