{"id":"https://openalex.org/W3013428383","doi":"https://doi.org/10.1109/icce46568.2020.9043022","title":"Test Case Generation Algorithms and Tools for Specifications in Natural Language","display_name":"Test Case Generation Algorithms and Tools for Specifications in Natural Language","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3013428383","doi":"https://doi.org/10.1109/icce46568.2020.9043022","mag":"3013428383"},"language":"en","primary_location":{"id":"doi:10.1109/icce46568.2020.9043022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce46568.2020.9043022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Consumer Electronics (ICCE)","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/A5065380939","display_name":"Yusuke Aoyama","orcid":"https://orcid.org/0000-0001-9287-7050"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Aoyama","raw_affiliation_strings":["Faculty of Comp. Science and Systems Eng., Kyushu Institute of Technology, Iizuka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Comp. Science and Systems Eng., Kyushu Institute of Technology, Iizuka, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081368046","display_name":"Takeru Kuroiwa","orcid":null},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeru Kuroiwa","raw_affiliation_strings":["Kyushu Institute of Technology, Iizuka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology, Iizuka, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084281120","display_name":"Noriyuki Kushiro","orcid":null},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noriyuki Kushiro","raw_affiliation_strings":["Kyushu Institute of Technology, Iizuka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology, Iizuka, Japan","institution_ids":["https://openalex.org/I207014233"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5416,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7269255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9995999932289124,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9995999932289124,"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":0.9991999864578247,"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/T10028","display_name":"Topic Modeling","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nondeterministic-algorithm","display_name":"Nondeterministic algorithm","score":0.9191160202026367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7801007032394409},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.688348114490509},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5544030666351318},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5324161052703857},{"id":"https://openalex.org/keywords/random-testing","display_name":"Random testing","score":0.4774116277694702},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.4526680111885071},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3436325192451477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2443542182445526},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19590771198272705}],"concepts":[{"id":"https://openalex.org/C176181172","wikidata":"https://www.wikidata.org/wiki/Q3490301","display_name":"Nondeterministic algorithm","level":2,"score":0.9191160202026367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7801007032394409},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.688348114490509},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5544030666351318},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5324161052703857},{"id":"https://openalex.org/C106159264","wikidata":"https://www.wikidata.org/wiki/Q17146789","display_name":"Random testing","level":4,"score":0.4774116277694702},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.4526680111885071},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3436325192451477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2443542182445526},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19590771198272705},{"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/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icce46568.2020.9043022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce46568.2020.9043022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"},{"id":"mag:3041487993","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002220147788792","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W127224647","https://openalex.org/W1574491227","https://openalex.org/W1910771831","https://openalex.org/W1987943861","https://openalex.org/W2028296460","https://openalex.org/W2041399626","https://openalex.org/W2055866867","https://openalex.org/W2123442489","https://openalex.org/W2126195491","https://openalex.org/W2134199742","https://openalex.org/W2134223786","https://openalex.org/W2158076786","https://openalex.org/W2920972289","https://openalex.org/W2944819931","https://openalex.org/W6680047332","https://openalex.org/W6683142531"],"related_works":["https://openalex.org/W2147116815","https://openalex.org/W2527390967","https://openalex.org/W2102816555","https://openalex.org/W3155744979","https://openalex.org/W2405583496","https://openalex.org/W2547155723","https://openalex.org/W4295918990","https://openalex.org/W2955493330","https://openalex.org/W2240631859","https://openalex.org/W2079626666"],"abstract_inverted_index":{"Nowadays,":[0],"most":[1],"consumer":[2,33],"products":[3,34],"are":[4,15,88],"equipped":[5],"with":[6,35],"methods":[7],"of":[8,31,52],"network":[9,36],"communications,":[10],"and":[11,46,57,74,81,95,105],"nondeterministic":[12,82],"tests,":[13],"which":[14,59],"originated":[16],"from":[17,115],"random":[18],"message":[19],"exchanges":[20],"via":[21],"the":[22,29,32,50,91],"network,":[23],"should":[24],"be":[25],"carried":[26],"out.":[27],"Therefore,":[28],"tests":[30],"have":[37,109],"obliged":[38],"us":[39],"to":[40,44,63,75,99],"consume":[41],"much":[42],"time":[43],"design":[45],"conduct.":[47],"For":[48],"reducing":[49],"labor":[51],"designing":[53],"test":[54,61,77,83,113],"cases,":[55],"algorithms":[56,94],"tools,":[58],"help":[60],"engineers":[62],"convert":[64],"specifications":[65],"written":[66],"in":[67,90,111,117],"a":[68,100,118],"natural":[69,119],"language":[70],"into":[71],"semiformal":[72],"descriptions,":[73],"generate":[76],"cases":[78,84,114],"including":[79],"deterministic":[80],"as":[85],"decision":[86],"tables,":[87],"proposed":[89],"paper.":[92],"The":[93],"tools":[96],"were":[97],"applied":[98],"tiny":[101],"example":[102],"for":[103],"evaluation":[104],"confirmed":[106],"that":[107],"they":[108],"succeeded":[110],"generating":[112],"documents":[116],"language.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
