{"id":"https://openalex.org/W4310813084","doi":"https://doi.org/10.1145/3550356.3561576","title":"MDE for machine learning-enabled software systems: a case study and comparison of MontiAnna &amp; ML-Quadrat","display_name":"MDE for machine learning-enabled software systems: a case study and comparison of MontiAnna &amp; ML-Quadrat","publication_year":2022,"publication_date":"2022-10-01","ids":{"openalex":"https://openalex.org/W4310813084","doi":"https://doi.org/10.1145/3550356.3561576"},"language":"en","primary_location":{"id":"pmh:oai:centaur.reading.ac.uk:108661","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402273","display_name":"CentAUR (University of Reading)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71052956","host_organization_name":"University of Reading","host_organization_lineage":["https://openalex.org/I71052956"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Book or Report Section"},"type":"preprint","indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.se-rwth.de/publications/MDE-for-machine-learning-enabled-software-systems-a-case-study-and-comparison-of-MontiAnna-ML-Quadrat.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073883324","display_name":"J\u00f6rg Christian Kirchhof","orcid":"https://orcid.org/0000-0002-8188-3647"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kirchhof, J\u00f6rg Christian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021145349","display_name":"Evgeny Kusmenko","orcid":"https://orcid.org/0000-0002-5491-6175"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kusmenko, Evgeny","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046231738","display_name":"Jonas Ritz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ritz, Jonas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037823412","display_name":"Bernhard Rumpe\u22c6","orcid":"https://orcid.org/0000-0002-2147-1966"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rumpe, Bernhard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090346723","display_name":"Armin Moin","orcid":"https://orcid.org/0000-0002-8484-7836"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moin, Armin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074504351","display_name":"Stephan G\u00fcnnemann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G\u00fcnnemann, Stephan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5006565100","display_name":"Moharram Challenger","orcid":"https://orcid.org/0000-0002-5436-6070"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Challenger, Moharram","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9789000153541565,"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":0.9789000153541565,"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":0.9656999707221985,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9559999704360962,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.777716875076294},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.7474660277366638},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6099276542663574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6065519452095032},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5699456930160522},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.53532475233078},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5218019485473633},{"id":"https://openalex.org/keywords/modularity","display_name":"Modularity (biology)","score":0.5167843103408813},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4890056848526001},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47515222430229187},{"id":"https://openalex.org/keywords/reusability","display_name":"Reusability","score":0.4615471661090851},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.45850712060928345},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.43449926376342773},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.42339634895324707},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2424141764640808},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.22588157653808594}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.777716875076294},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7474660277366638},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6099276542663574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6065519452095032},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5699456930160522},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.53532475233078},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5218019485473633},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.5167843103408813},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4890056848526001},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47515222430229187},{"id":"https://openalex.org/C137981799","wikidata":"https://www.wikidata.org/wiki/Q1369184","display_name":"Reusability","level":3,"score":0.4615471661090851},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.45850712060928345},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.43449926376342773},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.42339634895324707},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2424141764640808},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.22588157653808594},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:centaur.reading.ac.uk:108661","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402273","display_name":"CentAUR (University of Reading)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71052956","host_organization_name":"University of Reading","host_organization_lineage":["https://openalex.org/I71052956"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Book or Report Section"},{"id":"pmh:oai:publications.rwth-aachen.de:856550","is_oa":true,"landing_page_url":"https://publications.rwth-aachen.de/record/856550","pdf_url":"https://www.se-rwth.de/publications/MDE-for-machine-learning-enabled-software-systems-a-case-study-and-comparison-of-MontiAnna-ML-Quadrat.pdf","source":{"id":"https://openalex.org/S4306401362","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings<br/>4. MDE Intelligence Workshop, Montreal, Canada, 2022-10-23 - 2022-10-28<br/>25. International Conference on Model Driven Engineering Languages and Systems, MODELS 2022, Montreal, Canada, 2022-10-23 - 2022-10-28","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:publications.rwth-aachen.de:856550","is_oa":true,"landing_page_url":"https://publications.rwth-aachen.de/record/856550","pdf_url":"https://www.se-rwth.de/publications/MDE-for-machine-learning-enabled-software-systems-a-case-study-and-comparison-of-MontiAnna-ML-Quadrat.pdf","source":{"id":"https://openalex.org/S4306401362","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings<br/>4. MDE Intelligence Workshop, Montreal, Canada, 2022-10-23 - 2022-10-28<br/>25. International Conference on Model Driven Engineering Languages and Systems, MODELS 2022, Montreal, Canada, 2022-10-23 - 2022-10-28","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4310813084.pdf","grobid_xml":"https://content.openalex.org/works/W4310813084.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2950475743","https://openalex.org/W4386603768","https://openalex.org/W2886711096","https://openalex.org/W4380078352","https://openalex.org/W2734358244","https://openalex.org/W3046591097","https://openalex.org/W2590796488","https://openalex.org/W2750384547","https://openalex.org/W2809732489","https://openalex.org/W3088091256"],"abstract_inverted_index":{"In":[0],"this":[1,45,146],"paper,":[2],"we":[3,89],"propose":[4],"to":[5,103,136],"adopt":[6],"the":[7,11,23,74,80,95,113,118,137,152,155,159,164,169,175,184,188,198],"MDE":[8,156],"paradigm":[9],"for":[10,44,66,117],"development":[12],"of":[13,25,70,94,108,132,154,183,191,197],"Machine":[14],"Learning":[15],"(ML)-enabled":[16],"software":[17],"systems":[18],"with":[19],"a":[20,50,91,105,195],"focus":[21],"on":[22,150],"Internet":[24],"Things":[26],"(IoT)":[27],"domain.":[28,161],"We":[29],"illustrate":[30],"how":[31],"two":[32,96],"state-of-the-art":[33],"open-source":[34],"modeling":[35],"tools,":[36],"namely":[37],"MontiAnna":[38],"and":[39,78,124,143,177,181],"ML-Quadrat":[40],"can":[41],"be":[42],"used":[43],"purpose":[46],"as":[47,112,128,130,141,194],"demonstrated":[48],"through":[49,186],"case":[51,54],"study.":[52],"The":[53],"study":[55],"illustrates":[56],"using":[57,73],"ML,":[58],"in":[59,158,167],"particular":[60],"deep":[61],"Artificial":[62],"Neural":[63],"Networks":[64],"(ANNs),":[65],"automated":[67],"image":[68],"recognition":[69],"handwritten":[71],"digits":[72],"MNIST":[75],"reference":[76],"dataset,":[77],"integrating":[79],"machine":[81],"learning":[82],"components":[83],"into":[84,121],"an":[85,100],"IoT":[86,199],"system.":[87],"Subsequently,":[88],"conduct":[90],"functional":[92],"comparison":[93],"frameworks,":[97],"setting":[98],"out":[99],"analysis":[101],"base":[102],"include":[104],"broad":[106],"range":[107],"design":[109,185],"considerations,":[110],"such":[111,140],"problem":[114],"domain,":[115],"methods":[116],"ML":[119,126,138,160,165,192],"integration":[120,190],"larger":[122],"systems,":[123],"supported":[125],"methods,":[127],"well":[129],"topics":[131],"recent":[133],"intense":[134],"interest":[135],"community,":[139],"AutoML":[142],"MLOps.":[144],"Accordingly,":[145],"paper":[147],"is":[148],"focused":[149],"elucidating":[151],"potential":[153],"approach":[157],"This":[162],"supports":[163],"engineer":[166],"developing":[168],"(ML/software)":[170],"model":[171],"rather":[172],"than":[173],"implementing":[174],"code,":[176],"additionally":[178],"enforces":[179],"reusability":[180],"modularity":[182],"enabling":[187],"out-of-the-box":[189],"functionality":[193],"component":[196],"or":[200],"cyber-physical":[201],"systems.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
