{"id":"https://openalex.org/W2613764977","doi":"https://doi.org/10.17706/jsw.12.3.153-164","title":"A Clustering-Based Test Case Classification Technique for Enhancing Regression Testing","display_name":"A Clustering-Based Test Case Classification Technique for Enhancing Regression Testing","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2613764977","doi":"https://doi.org/10.17706/jsw.12.3.153-164","mag":"2613764977"},"language":"en","primary_location":{"id":"doi:10.17706/jsw.12.3.153-164","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jsw.12.3.153-164","pdf_url":"http://www.jsoftware.us/vol12/238-JSW15154.pdf","source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.jsoftware.us/vol12/238-JSW15154.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102405641","display_name":"Yulei Pang","orcid":null},"institutions":[{"id":"https://openalex.org/I35462925","display_name":"Southern Connecticut State University","ror":"https://ror.org/00ramkd50","country_code":"US","type":"education","lineage":["https://openalex.org/I35462925","https://openalex.org/I4210132746"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yulei Pang","raw_affiliation_strings":["Department of Mathematics, Southern Connecticut State University, New Haven, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Southern Connecticut State University, New Haven, USA","institution_ids":["https://openalex.org/I35462925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069164588","display_name":"Xiaozhen Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaozhen Xue","raw_affiliation_strings":["Department of Computer Science, Texas Tech University, Lubbock, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas Tech University, Lubbock, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006673915","display_name":"Akbar Akbar","orcid":"https://orcid.org/0000-0002-1088-3674"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akbar Akbar","raw_affiliation_strings":["Department of Computer Science, Texas Tech University, Lubbock, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas Tech University, Lubbock, USA","institution_ids":["https://openalex.org/I12315562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102405641"],"corresponding_institution_ids":["https://openalex.org/I35462925"],"apc_list":null,"apc_paid":null,"fwci":0.3392,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61111111,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"12","issue":"4","first_page":"153","last_page":"164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9998000264167786,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9962999820709229,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9936000108718872,"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":0.8806859850883484},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6166260838508606},{"id":"https://openalex.org/keywords/regression-testing","display_name":"Regression testing","score":0.6084679365158081},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5663048028945923},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4581091105937958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43913349509239197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42009374499320984},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.41186100244522095},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.292352557182312},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07803118228912354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05936157703399658},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.04531148076057434}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8806859850883484},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6166260838508606},{"id":"https://openalex.org/C161821725","wikidata":"https://www.wikidata.org/wiki/Q917415","display_name":"Regression testing","level":5,"score":0.6084679365158081},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5663048028945923},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4581091105937958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43913349509239197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42009374499320984},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41186100244522095},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.292352557182312},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07803118228912354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05936157703399658},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.04531148076057434},{"id":"https://openalex.org/C186846655","wikidata":"https://www.wikidata.org/wiki/Q3398377","display_name":"Software construction","level":4,"score":0.0},{"id":"https://openalex.org/C149091818","wikidata":"https://www.wikidata.org/wiki/Q2429814","display_name":"Software system","level":3,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.17706/jsw.12.3.153-164","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jsw.12.3.153-164","pdf_url":"http://www.jsoftware.us/vol12/238-JSW15154.pdf","source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.17706/jsw.12.3.153-164","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jsw.12.3.153-164","pdf_url":"http://www.jsoftware.us/vol12/238-JSW15154.pdf","source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5299999713897705,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2613764977.pdf","grobid_xml":"https://content.openalex.org/works/W2613764977.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1565050238","https://openalex.org/W1940686192","https://openalex.org/W1971137495","https://openalex.org/W1972391765","https://openalex.org/W2010257451","https://openalex.org/W2042025208","https://openalex.org/W2083825874","https://openalex.org/W2097186696","https://openalex.org/W2107946060","https://openalex.org/W2110068396","https://openalex.org/W2118587067","https://openalex.org/W2120636855","https://openalex.org/W2127218421","https://openalex.org/W2150129373","https://openalex.org/W2152177230","https://openalex.org/W2165026393","https://openalex.org/W2170771779","https://openalex.org/W2299467264","https://openalex.org/W6677796945","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W4232229155","https://openalex.org/W643015529","https://openalex.org/W2045239961","https://openalex.org/W4298130764","https://openalex.org/W2162694379","https://openalex.org/W2186442870","https://openalex.org/W2132641928","https://openalex.org/W2119861793","https://openalex.org/W4384302763"],"abstract_inverted_index":{"To":[0],"reduce":[1],"the":[2,33,38,42,62,86,89,108],"cost":[3],"of":[4,41,88,101,105],"regression":[5],"testing,":[6],"we":[7],"propose":[8],"a":[9],"test":[10,20,63,70],"case":[11,64],"classification":[12],"methodology":[13],"based":[14,31],"on":[15,32],"clustering":[16,28,50,65],"techniques":[17],"to":[18],"classify":[19],"cases":[21,71],"into":[22],"effective":[23,69],"and":[24,54,76,84,103],"non-effective":[25],"groups.":[26],"The":[27,57,80],"strategy":[29],"is":[30],"coverage":[34,98],"information":[35],"obtained":[36],"for":[37],"earlier":[39,109],"releases":[40],"program":[43],"under":[44],"test.":[45],"We":[46],"employed":[47],"two":[48],"common":[49],"algorithms":[51],"namely":[52],"centroid-based":[53],"hierarchical":[55],"clustering.":[56],"empirical":[58],"study":[59],"results":[60],"showed":[61],"can":[66],"effectively":[67],"identify":[68],"with":[72,93],"high":[73],"recall":[74],"ratio":[75],"considerable":[77],"accuracy":[78],"percentage.":[79],"paper":[81],"also":[82],"investigates":[83],"compares":[85],"performance":[87],"proposed":[90],"clustering-based":[91],"approach":[92],"some":[94],"other":[95],"factors":[96],"including":[97],"criteria,":[99],"construction":[100],"features,":[102],"quantity":[104],"faults":[106],"in":[107],"releases.":[110]},"counts_by_year":[{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2017-05-19T00:00:00"}