{"id":"https://openalex.org/W4393883428","doi":"https://doi.org/10.5281/zenodo.4570751","title":"On the test smells detection: an empirical study on the JNose Test accuracy","display_name":"On the test smells detection: an empirical study on the JNose Test accuracy","publication_year":2021,"publication_date":"2021-03-01","ids":{"openalex":"https://openalex.org/W4393883428","doi":"https://doi.org/10.5281/zenodo.4570751"},"language":"en","primary_location":{"id":"pmh:oai:figshare.com:article/14139333","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030148545","display_name":"T\u00e1ssio Virg\u00ednio","orcid":"https://orcid.org/0000-0001-6259-4957"},"institutions":[{"id":"https://openalex.org/I4210139493","display_name":"Instituto Federal do Tocantins","ror":"https://ror.org/03p5hcj07","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210139493"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Virg\u00ednio, T\u00e1ssio","raw_affiliation_strings":["Federal Institute of Tocantins"],"affiliations":[{"raw_affiliation_string":"Federal Institute of Tocantins","institution_ids":["https://openalex.org/I4210139493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109698980","display_name":"Luana Martins","orcid":null},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Martins, Luana","raw_affiliation_strings":["Federal University of Bahia"],"affiliations":[{"raw_affiliation_string":"Federal University of Bahia","institution_ids":["https://openalex.org/I126158947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103215778","display_name":"Railana Santana","orcid":"https://orcid.org/0000-0002-1153-8960"},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Santana, Railana","raw_affiliation_strings":["Federal University of Bahia"],"affiliations":[{"raw_affiliation_string":"Federal University of Bahia","institution_ids":["https://openalex.org/I126158947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005498430","display_name":"Adriana Cruz","orcid":"https://orcid.org/0000-0001-5196-6356"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Cruz, Adriana","raw_affiliation_strings":["Federal University of Lavras"],"affiliations":[{"raw_affiliation_string":"Federal University of Lavras","institution_ids":["https://openalex.org/I1315085146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111159673","display_name":"Larissa Rocha","orcid":"https://orcid.org/0009-0000-3928-6374"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rocha, Larissa","raw_affiliation_strings":["Federal University of Feira de Santada"],"affiliations":[{"raw_affiliation_string":"Federal University of Feira de Santada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102963160","display_name":"Heitor Costa","orcid":"https://orcid.org/0000-0002-9903-7414"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Costa, Heitor","raw_affiliation_strings":["Federal University of Lavras"],"affiliations":[{"raw_affiliation_string":"Federal University of Lavras","institution_ids":["https://openalex.org/I1315085146"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111270012","display_name":"Ivan Machado","orcid":null},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Machado, Ivan","raw_affiliation_strings":["Federal University of Bahia"],"affiliations":[{"raw_affiliation_string":"Federal University of Bahia","institution_ids":["https://openalex.org/I126158947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5030148545"],"corresponding_institution_ids":["https://openalex.org/I4210139493"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.5241000056266785,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.5241000056266785,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13535","display_name":"Wireless Sensor Networks and IoT","score":0.4869000017642975,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/test","display_name":"Test (biology)","score":0.7078186273574829},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44894716143608093},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.42900392413139343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37134408950805664},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2708141803741455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2113940715789795},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09713971614837646},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.06335261464118958}],"concepts":[{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.7078186273574829},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44894716143608093},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.42900392413139343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37134408950805664},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2708141803741455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2113940715789795},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09713971614837646},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.06335261464118958}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:figshare.com:article/14139333","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Dataset"},{"id":"doi:10.5281/zenodo.4570751","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.4570751","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/14139333","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","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","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Data":[0],"collected":[1],"in":[2,95,100,165,252],"the":[3,6,14,34,43,85,105,132,143,162,169,187,205,209,217,221,224,229,239,253,260,263,268],"study":[4,12,160,202],"\"On":[5],"test":[7,25,47,86,101,106,110,139,144,154,170,210,254,264],"smells":[8,90,111,145,155,171,211,255,265],"detection:":[9],"an":[10,80,127,177,183,200],"empirical":[11,201],"on":[13,116],"JNose":[15,133,148,218],"Test":[16,71,89,149,219],"accuracy\"":[17],"Abstract:":[18],"Several":[19],"strategies":[20,66],"have":[21,67],"been":[22,62,68,77],"proposed":[23,131],"for":[24,74,186,208,262],"quality":[26,141],"measurement":[27],"and":[28,97,196,213,220,238],"analysis.":[29],"Code":[30],"coverage":[31,60],"is":[32,113],"likely":[33],"most":[35,114],"widely":[36,63],"used":[37],"one.":[38],"It":[39,246],"enables":[40],"to":[41,49,83,137,176,203,236,244,259],"verify":[42],"ability":[44],"of":[45,153,189],"a":[46,123,135,214,249],"case":[48],"cover":[50],"as":[51,56,79],"many":[52],"source":[53],"code":[54,59,87,102],"branches":[55],"possible.":[57],"Although":[58],"has":[61,76],"used,":[64],"novel":[65],"recently":[69],"employed.":[70],"smell":[72],"analysis,":[73],"example,":[75],"introduced":[78],"affordable":[81],"strategy":[82],"evaluate":[84,204],"quality.":[88,108],"are":[91],"poor":[92],"design":[93],"choices":[94],"implementation,":[96],"their":[98],"occurrence":[99],"might":[103],"reduce":[104],"suites":[107],"The":[109,147],"identification":[112],"dependent":[115],"tool":[117,136,206],"support;":[118],"otherwise,":[119],"it":[120],"could":[121],"become":[122],"cost\u00adineffective":[124],"strategy.":[125],"In":[126],"earlier":[128],"study,":[129],"we":[130,198],"Test,":[134],"analyze":[138],"suite":[140],"from":[142,234,242],"perspec\u00adtive.":[146],"detects":[150],"twenty\u00adone":[151],"types":[152],"throughout":[156],"software":[157],"versions.":[158],"This":[159],"extends":[161],"previous":[163],"one":[164],"two":[166],"directions:":[167],"i)":[168],"detection":[172,191,212,256,266],"rules":[173,192,257],"were":[174],"extracted":[175],"API,":[178],"named":[179],"JNose-Core,":[180],"that":[181,228],"provides":[182],"extensible":[184],"architecture":[185],"implementation":[188],"new":[190],"or":[193],"programming":[194],"languages;":[195],"ii)":[197],"performed":[199],"effectiveness":[207],"comparison":[215],"between":[216],"state-\u00adof-\u00adthe\u00adart":[222],"tool,":[223],"tsDetect.":[225],"Results":[226],"showed":[227],"JNose-Core":[230],"precision":[231],"score":[232,241],"ranges":[233],"91%":[235],"100%,":[237],"recall":[240],"89%":[243],"100%.":[245],"also":[247],"presented":[248],"slight":[250],"improvement":[251],"compared":[258],"tsDetect":[261],"at":[267],"class":[269],"\u00adlevel.":[270]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-02-21T06:11:54.161237","created_date":"2025-10-10T00:00:00"}