{"id":"https://openalex.org/W4392981801","doi":"https://doi.org/10.1109/icaiic60209.2024.10463497","title":"Leveraging OpenAPI for Microservice Decomposition: A Comparative Study on Features, Encodings and Algorithms on a Real MES","display_name":"Leveraging OpenAPI for Microservice Decomposition: A Comparative Study on Features, Encodings and Algorithms on a Real MES","publication_year":2024,"publication_date":"2024-02-19","ids":{"openalex":"https://openalex.org/W4392981801","doi":"https://doi.org/10.1109/icaiic60209.2024.10463497"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic60209.2024.10463497","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaiic60209.2024.10463497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5019966998","display_name":"Michael Oberle","orcid":null},"institutions":[{"id":"https://openalex.org/I3018473509","display_name":"Fraunhofer Institute for Manufacturing Engineering and Automation","ror":"https://ror.org/01rvqha10","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3018473509","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Michael Oberle","raw_affiliation_strings":["Competence Centre for Digital Tools in Manufacturing, Fraunhofer Institute for Manufacturing Engineering,Stuttgart,Germany","Competence Centre for Digital Tools in Manufacturing, Fraunhofer Institute for Manufacturing Engineering, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Competence Centre for Digital Tools in Manufacturing, Fraunhofer Institute for Manufacturing Engineering,Stuttgart,Germany","institution_ids":["https://openalex.org/I3018473509"]},{"raw_affiliation_string":"Competence Centre for Digital Tools in Manufacturing, Fraunhofer Institute for Manufacturing Engineering, Stuttgart, Germany","institution_ids":["https://openalex.org/I3018473509"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016197337","display_name":"Thomas Bauernhansl","orcid":"https://orcid.org/0000-0001-5768-2055"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Bauernhansl","raw_affiliation_strings":["Institute of Industrial Manufacturing and Management, University of Stuttgart,Stuttgart,Germany","Institute of Industrial Manufacturing and Management, University of Stuttgart, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Industrial Manufacturing and Management, University of Stuttgart,Stuttgart,Germany","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"Institute of Industrial Manufacturing and Management, University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019966998"],"corresponding_institution_ids":["https://openalex.org/I3018473509"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02947429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"785","last_page":"791"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9995999932289124,"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":0.9995999932289124,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9959999918937683,"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"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9832000136375427,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7251448631286621},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6510448455810547},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3845110237598419},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37848445773124695}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7251448631286621},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6510448455810547},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3845110237598419},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37848445773124695},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icaiic60209.2024.10463497","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaiic60209.2024.10463497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/499153","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/499153","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W151377110","https://openalex.org/W1987971958","https://openalex.org/W2118608338","https://openalex.org/W2144211451","https://openalex.org/W2150593711","https://openalex.org/W2165232124","https://openalex.org/W2507164204","https://openalex.org/W2750746471","https://openalex.org/W2915587970","https://openalex.org/W2945008930","https://openalex.org/W2978117082","https://openalex.org/W3039346278","https://openalex.org/W3042608096","https://openalex.org/W3080543622","https://openalex.org/W3105935311","https://openalex.org/W3198365180","https://openalex.org/W4235169531","https://openalex.org/W4312387594","https://openalex.org/W6747248625"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857"],"abstract_inverted_index":{"The":[0,147],"demand":[1],"for":[2],"greater":[3],"modularity":[4],"and":[5,69,79,86,92,95,117,122,157],"scalability":[6],"within":[7],"software":[8],"architecture":[9],"drives":[10],"the":[11,46,63,109,131,138,142,145,150],"transition":[12],"from":[13,58],"monolithic":[14,25],"systems":[15],"to":[16,40,55,125],"microservices.":[17],"This":[18],"paper":[19],"delves":[20],"into":[21,30],"decomposing":[22],"a":[23,49],"real-world":[24,103],"Manufacturing":[26],"Execution":[27],"System":[28],"(MES)":[29],"microservices,":[31],"focusing":[32],"on":[33,71],"semantic":[34],"analysis":[35],"using":[36],"word":[37],"encodings":[38,81],"applied":[39],"326":[41],"OpenAPI":[42],"endpoints.":[43],"We":[44,61,74],"studied":[45],"results":[47,56,114],"of":[48,65,144,159],"machine":[50],"learning":[51],"approach":[52],"in":[53,137],"comparison":[54],"obtained":[57],"human":[59,126],"experts.":[60],"evaluated":[62],"impact":[64],"encoding":[66],"types,":[67],"features":[68],"algorithms":[70,98],"segmentation":[72],"results.":[73,160],"compared":[75,124],"different":[76],"feature":[77],"combinations,":[78],"classic":[80],"such":[82],"as":[83],"TF-IDF,":[84],"word2vec":[85],"fastText":[87],"embeddings":[88,91],"with":[89,99,115],"openAI":[90],"custom-trained":[93],"embeddings,":[94],"also":[96],"non-centroid":[97],"k-means.":[100],"In":[101],"our":[102],"scenario,":[104],"we":[105],"have":[106],"found":[107],"that":[108],"best":[110],"combinations":[111],"produce":[112],"good":[113],"ARI":[116],"NMI":[118],"scores":[119,134],"at":[120],"0.75":[121],"above":[123],"experts'":[127],"ground":[128],"truth.":[129],"However,":[130],"low":[132],"silhouette":[133],"below":[135],"0.3":[136],"same":[139],"runs":[140],"indicate":[141],"limitations":[143],"method.":[146],"method":[148],"facilitates":[149],"decomposition":[151],"process":[152],"but":[153],"requires":[154],"human-driven":[155],"configuration":[156],"verification":[158]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}