{"id":"https://openalex.org/W2981242361","doi":"https://doi.org/10.1109/etfa.2019.8869145","title":"Supporting Domain Experts by using Model-Based Equivalence Class Partitioning for Efficient Test Data Generation","display_name":"Supporting Domain Experts by using Model-Based Equivalence Class Partitioning for Efficient Test Data Generation","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2981242361","doi":"https://doi.org/10.1109/etfa.2019.8869145","mag":"2981242361"},"language":"en","primary_location":{"id":"doi:10.1109/etfa.2019.8869145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2019.8869145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","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/A5010365769","display_name":"Kristof Meixner","orcid":"https://orcid.org/0000-0001-7286-1393"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Kristof Meixner","raw_affiliation_strings":["Christian Doppler Laboratory SQI, Institute of Information, Systems Engineering, TU Wien, Austria"],"affiliations":[{"raw_affiliation_string":"Christian Doppler Laboratory SQI, Institute of Information, Systems Engineering, TU Wien, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101864493","display_name":"Dietmar Winkler","orcid":"https://orcid.org/0000-0002-4743-3124"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Dietmar Winkler","raw_affiliation_strings":["Christian Doppler Laboratory SQI, Institute of Information, Systems Engineering, TU Wien, Austria"],"affiliations":[{"raw_affiliation_string":"Christian Doppler Laboratory SQI, Institute of Information, Systems Engineering, TU Wien, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065534796","display_name":"Stefan Biffl","orcid":"https://orcid.org/0000-0002-3413-7780"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Stefan Biffl","raw_affiliation_strings":["Institute of Information Systems Engineering, TU Wien, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Information Systems Engineering, TU Wien, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010365769"],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66354811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"134","last_page":"141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.998199999332428,"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/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.998199999332428,"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":0.9980000257492065,"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/T11741","display_name":"Flexible and Reconfigurable Manufacturing Systems","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7558243274688721},{"id":"https://openalex.org/keywords/code-coverage","display_name":"Code coverage","score":0.5997081398963928},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.5834212303161621},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.5525453686714172},{"id":"https://openalex.org/keywords/test-management-approach","display_name":"Test Management Approach","score":0.5381397604942322},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.5030969977378845},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.4667065143585205},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.45585569739341736},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45577123761177063},{"id":"https://openalex.org/keywords/abstract-syntax-tree","display_name":"Abstract syntax tree","score":0.43742474913597107},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.43585580587387085},{"id":"https://openalex.org/keywords/test-harness","display_name":"Test harness","score":0.4123699963092804},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40944790840148926},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.37507277727127075},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.35304147005081177},{"id":"https://openalex.org/keywords/software-development","display_name":"Software development","score":0.31833118200302124},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2228299379348755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21360889077186584},{"id":"https://openalex.org/keywords/software-construction","display_name":"Software construction","score":0.19490373134613037}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7558243274688721},{"id":"https://openalex.org/C53942775","wikidata":"https://www.wikidata.org/wiki/Q1211721","display_name":"Code coverage","level":3,"score":0.5997081398963928},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.5834212303161621},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.5525453686714172},{"id":"https://openalex.org/C7435765","wikidata":"https://www.wikidata.org/wiki/Q7705776","display_name":"Test Management Approach","level":5,"score":0.5381397604942322},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.5030969977378845},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.4667065143585205},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.45585569739341736},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45577123761177063},{"id":"https://openalex.org/C58646249","wikidata":"https://www.wikidata.org/wiki/Q127380","display_name":"Abstract syntax tree","level":3,"score":0.43742474913597107},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.43585580587387085},{"id":"https://openalex.org/C109852812","wikidata":"https://www.wikidata.org/wiki/Q2406355","display_name":"Test harness","level":5,"score":0.4123699963092804},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40944790840148926},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.37507277727127075},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.35304147005081177},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.31833118200302124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2228299379348755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21360889077186584},{"id":"https://openalex.org/C186846655","wikidata":"https://www.wikidata.org/wiki/Q3398377","display_name":"Software construction","level":4,"score":0.19490373134613037},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/etfa.2019.8869145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2019.8869145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1159006237","https://openalex.org/W1564363189","https://openalex.org/W1608087281","https://openalex.org/W1873022895","https://openalex.org/W1979459287","https://openalex.org/W1980818933","https://openalex.org/W1992639336","https://openalex.org/W1998167229","https://openalex.org/W2014309790","https://openalex.org/W2020851875","https://openalex.org/W2079265438","https://openalex.org/W2100162598","https://openalex.org/W2149713648","https://openalex.org/W2251980239","https://openalex.org/W2397138080","https://openalex.org/W2553496227","https://openalex.org/W2591081397","https://openalex.org/W2611079480","https://openalex.org/W2802135901","https://openalex.org/W2899503505","https://openalex.org/W2920914348","https://openalex.org/W4246655749","https://openalex.org/W6760362257"],"related_works":["https://openalex.org/W2949730628","https://openalex.org/W2392299784","https://openalex.org/W3006257721","https://openalex.org/W2996721186","https://openalex.org/W86846735","https://openalex.org/W4246628980","https://openalex.org/W1985406378","https://openalex.org/W3175215928","https://openalex.org/W1989136995","https://openalex.org/W2264743017"],"abstract_inverted_index":{"Context.":[0],"Production":[1],"Systems":[2],"Engineering":[3],"(PSE)":[4],"faces":[5],"a":[6,66,102,121,136,143],"growing":[7],"complexity":[8],"of":[9,16,86,112,163],"software,":[10],"i.a.,":[11],"due":[12],"to":[13,44,57,159,178],"increasing":[14],"capabilities":[15,204],"the":[17,81,92,118,154,161,164,174],"hardware,":[18],"requiring":[19],"efficient":[20],"approaches":[21],"for":[22,32,68,105,134,139,145,205],"designing":[23],"test":[24,27,60,69,146,149,180,185,188,201],"data":[25,64,147,186],"and":[26,62,75,84,116,148,152,187,203],"cases.":[28,208],"Apart":[29],"from":[30,131],"this,":[31],"long-running":[33],"legacy":[34],"systems":[35],"where":[36],"often":[37,79],"no":[38],"tests":[39,42],"are":[40],"available":[41],"need":[43],"be":[45],"added":[46],"belatedly":[47],"during":[48],"system":[49],"maintenance.":[50],"Equivalence":[51,87],"Class":[52],"Partitioning":[53],"(ECP)":[54],"can":[55],"help":[56],"systematically":[58,183],"cluster":[59],"input":[61],"result":[63],"as":[65,142,199],"foundation":[67,144],"case":[70,150,177],"definition.":[71],"However,":[72],"different":[73],"tools":[74],"technologies":[76],"in":[77,120,173],"PSE":[78],"hinder":[80],"precise":[82],"definition":[83],"creation":[85],"Classes":[88],"(EC)":[89],"based":[90,108,190],"on":[91,109,129,153,191],"existing":[93,113],"source":[94,114,166],"code.":[95,167],"Objective.":[96],"In":[97],"this":[98],"paper,":[99],"we":[100],"present":[101],"model-based":[103,137],"approach":[104,119,138],"deriving":[106,140,184],"ECs":[107,141],"abstract":[110],"representations":[111],"code":[115],"evaluate":[117],"real-world":[122],"industry":[123],"use":[124,176],"case.":[125],"Method.":[126],"We":[127,194],"build":[128],"best-practices":[130],"software":[132],"testing":[133,206],"developing":[135],"generation":[151],"Abstract":[155],"Syntax":[156],"Tree":[157],"(AST)":[158],"describe":[160],"structure":[162],"underlying":[165],"Results.":[168],"First":[169],"results":[170],"were":[171],"promising":[172],"evaluation":[175],"improve":[179],"activities":[181],"by":[182],"cases":[189],"ECs.":[192],"Conclusions.":[193],"observed":[195],"additional":[196],"benefits,":[197],"such":[198],"increased":[200],"coverage":[202],"error":[207]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
