{"id":"https://openalex.org/W3176296708","doi":"https://doi.org/10.1109/icit46573.2021.9453674","title":"Improve Test Quality by Applying a Clustering-based Test Planning Procedure for Customer Experience Vehicle Functions","display_name":"Improve Test Quality by Applying a Clustering-based Test Planning Procedure for Customer Experience Vehicle Functions","publication_year":2021,"publication_date":"2021-03-10","ids":{"openalex":"https://openalex.org/W3176296708","doi":"https://doi.org/10.1109/icit46573.2021.9453674","mag":"3176296708"},"language":"en","primary_location":{"id":"doi:10.1109/icit46573.2021.9453674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit46573.2021.9453674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","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/A5101582970","display_name":"Simone K\u00f6nig","orcid":"https://orcid.org/0000-0003-4308-5801"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Simone Konig","raw_affiliation_strings":["Chair of Automation and Information Systems, Technical University of Munich, Garching, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Automation and Information Systems, Technical University of Munich, Garching, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071323487","display_name":"Birgit Vogel\u2010Heuser","orcid":"https://orcid.org/0000-0003-2785-8819"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Birgit Vogel-Heuser","raw_affiliation_strings":["Chair of Automation and Information Systems, Technical University of Munich, Garching, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Automation and Information Systems, Technical University of Munich, Garching, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074543656","display_name":"Rainer Mackel","orcid":null},"institutions":[{"id":"https://openalex.org/I1332474105","display_name":"Mercedes-Benz (Germany)","ror":"https://ror.org/055rn2a38","country_code":"DE","type":"company","lineage":["https://openalex.org/I1332474105"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rainer Mackel","raw_affiliation_strings":["Mercedes-Benz AG, Sindelfingen, Germany"],"affiliations":[{"raw_affiliation_string":"Mercedes-Benz AG, Sindelfingen, Germany","institution_ids":["https://openalex.org/I1332474105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074377331","display_name":"Dominik Schnittger","orcid":null},"institutions":[{"id":"https://openalex.org/I1332474105","display_name":"Mercedes-Benz (Germany)","ror":"https://ror.org/055rn2a38","country_code":"DE","type":"company","lineage":["https://openalex.org/I1332474105"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dominik Schnittger","raw_affiliation_strings":["Mercedes-Benz AG, Sindelfingen, Germany"],"affiliations":[{"raw_affiliation_string":"Mercedes-Benz AG, Sindelfingen, Germany","institution_ids":["https://openalex.org/I1332474105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101582970"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08368086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"736","last_page":"743"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9690999984741211,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9690999984741211,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9684000015258789,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9524000287055969,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/automotive-industry","display_name":"Automotive industry","score":0.7866374254226685},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6388713717460632},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6190645098686218},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5816386938095093},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5518534779548645},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.54722660779953},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.49747613072395325},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4440825581550598},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3577272593975067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2761652171611786},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.273470938205719},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26440805196762085}],"concepts":[{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.7866374254226685},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6388713717460632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6190645098686218},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5816386938095093},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5518534779548645},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.54722660779953},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.49747613072395325},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4440825581550598},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3577272593975067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2761652171611786},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.273470938205719},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26440805196762085},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icit46573.2021.9453674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit46573.2021.9453674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1615514","is_oa":false,"landing_page_url":"https://mediatum.ub.tum.de/1615514","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"ConferencePaper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1128809682","https://openalex.org/W1515386610","https://openalex.org/W1977074990","https://openalex.org/W2002876510","https://openalex.org/W2038869480","https://openalex.org/W2133756597","https://openalex.org/W2319660501","https://openalex.org/W2630557945","https://openalex.org/W2915001123","https://openalex.org/W2979713649","https://openalex.org/W2981075591","https://openalex.org/W2995134971","https://openalex.org/W3134927603","https://openalex.org/W6759766560"],"related_works":["https://openalex.org/W4382644535","https://openalex.org/W2522768275","https://openalex.org/W2352938035","https://openalex.org/W2351672553","https://openalex.org/W2373392303","https://openalex.org/W2765894405","https://openalex.org/W1884735063","https://openalex.org/W2372668238","https://openalex.org/W4226126548","https://openalex.org/W2560421750"],"abstract_inverted_index":{"The":[0,74],"automotive":[1,51,168],"industry":[2],"is":[3,8,70,158],"undergoing":[4],"technological":[5,47],"change":[6],"that":[7,109,123,146],"not":[9],"only":[10],"shaped":[11],"by":[12,17],"electro":[13],"mobility,":[14],"but":[15],"also":[16],"the":[18,26,34,50,54,97,147,167],"rising":[19],"importance":[20],"of":[21,36,57,62,77,126,137,162],"customer":[22,40,66],"experience.":[23],"It":[24],"puts":[25],"customers":[27],"first":[28],"and":[29,64,131,144],"manages":[30],"their":[31],"journeys":[32],"with":[33],"help":[35],"software.":[37],"These":[38],"software-driven":[39],"experience":[41,67],"vehicle":[42,68],"functions":[43,69,79],"can":[44],"promote":[45],"competitive":[46],"advantages":[48],"for":[49,101],"company.":[52],"In":[53,93,116],"ramp-up":[55],"phase":[56],"new":[58],"car":[59],"models,":[60],"testing":[61],"electric":[63],"electronic":[65],"conducted":[71],"on":[72,81,113],"prototypes.":[73],"functional":[75],"availability":[76],"these":[78,102],"depends":[80],"various":[82],"requirements.":[83],"Thus,":[84],"test":[85,98,111,114],"planning":[86,99,112],"quickly":[87],"becomes":[88],"difficult":[89],"to":[90,95,150],"conduct":[91],"manually.":[92],"order":[94],"optimize":[96],"procedure":[100,108,122,148],"functions,":[103],"we":[104,119],"developed":[105],"a":[106,121,135,159],"data-driven":[107],"automates":[110],"objects.":[115],"this":[117],"paper":[118],"introduce":[120],"comprises":[124],"interaction":[125],"hierarchical":[127],"clustering,":[128],"weighted":[129],"parameters":[130],"ranking.":[132],"We":[133],"evaluated":[134],"proof":[136],"concept":[138],"at":[139],"an":[140],"Original":[141],"Equipment":[142],"Manufacturer":[143],"conclude":[145],"leads":[149],"higher":[151],"quality":[152],"in":[153,166],"testing.":[154],"This":[155],"use":[156],"case":[157],"successful":[160],"application":[161],"unsupervised":[163],"machine":[164],"learning":[165],"industry.":[169]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}