{"id":"https://openalex.org/W4405305527","doi":"https://doi.org/10.1109/indin58382.2024.10774521","title":"Relevance Vector Machine for Code Smell Detection","display_name":"Relevance Vector Machine for Code Smell Detection","publication_year":2024,"publication_date":"2024-08-18","ids":{"openalex":"https://openalex.org/W4405305527","doi":"https://doi.org/10.1109/indin58382.2024.10774521"},"language":"en","primary_location":{"id":"doi:10.1109/indin58382.2024.10774521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin58382.2024.10774521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5015928397","display_name":"Hanson Prihantoro Putro","orcid":"https://orcid.org/0000-0002-8838-0321"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Hanson Prihantoro Putro","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Department of Electrical Engineering,Surabaya,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Department of Electrical Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019640260","display_name":"Umi Laili Yuhana","orcid":"https://orcid.org/0000-0001-5237-7457"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Umi Laili Yuhana","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036919699","display_name":"Eko Mulyanto Yuniarno","orcid":"https://orcid.org/0000-0003-1243-3025"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Eko Mulyanto Yuniarno","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Department of Computer Engineering, Department of Electrical Engineering,Surabaya,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Department of Computer Engineering, Department of Electrical Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012595591","display_name":"Mauridhi Hery Purnomo","orcid":"https://orcid.org/0000-0002-6221-7382"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Mauridhi Hery Purnomo","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Department of Computer Engineering, Department of Electrical Engineering,Surabaya,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Department of Computer Engineering, Department of Electrical Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166843116"],"apc_list":null,"apc_paid":null,"fwci":0.5224,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67897727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12479","display_name":"Web Application Security Vulnerabilities","score":0.9333000183105469,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12479","display_name":"Web Application Security Vulnerabilities","score":0.9333000183105469,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9257000088691711,"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"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9093999862670898,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7641956210136414},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6301558613777161},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6167640686035156},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5585553050041199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5066660046577454},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.41855186223983765},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3591465950012207},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3287423849105835}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7641956210136414},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6301558613777161},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6167640686035156},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5585553050041199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5066660046577454},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.41855186223983765},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3591465950012207},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3287423849105835},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin58382.2024.10774521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin58382.2024.10774521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1991172342","https://openalex.org/W2073792498","https://openalex.org/W2124794369","https://openalex.org/W2275441390","https://openalex.org/W2763667918","https://openalex.org/W2794185179","https://openalex.org/W2900833899","https://openalex.org/W3119003027","https://openalex.org/W3155264312","https://openalex.org/W3173690986","https://openalex.org/W3176933351","https://openalex.org/W3215597615","https://openalex.org/W4200258871","https://openalex.org/W4200409679","https://openalex.org/W4206717847","https://openalex.org/W4282563578","https://openalex.org/W4296182861","https://openalex.org/W4320717298","https://openalex.org/W4386067040","https://openalex.org/W4386103368","https://openalex.org/W4388536159","https://openalex.org/W4395070273","https://openalex.org/W6630537497","https://openalex.org/W6680216138","https://openalex.org/W6732471948"],"related_works":["https://openalex.org/W2010005619","https://openalex.org/W2066952721","https://openalex.org/W2565312173","https://openalex.org/W2683383161","https://openalex.org/W2335152656","https://openalex.org/W3147035969","https://openalex.org/W2359936972","https://openalex.org/W2383027800","https://openalex.org/W2206547991","https://openalex.org/W2104936869"],"abstract_inverted_index":{"Various":[0],"approaches":[1],"have":[2],"been":[3],"proposed":[4],"to":[5,18,134],"detect":[6,108],"code":[7,38,49,62,67,71,100,109,142,149],"smells,":[8,44],"including":[9],"machine":[10],"learning":[11],"models.":[12],"However,":[13],"there":[14],"are":[15],"still":[16],"challenges":[17],"improving":[19],"detection":[20,162],"accuracy":[21],"and":[22,51,72,75,86,128,151,155],"selecting":[23],"appropriate":[24],"quality":[25],"metrics.":[26],"This":[27,58,131],"research":[28],"introduces":[29],"the":[30,136],"use":[31,137],"of":[32,84,97,116,138],"Relevance":[33],"Vector":[34],"Machine":[35],"(RVM)":[36],"for":[37,140],"smell":[39],"detection,":[40],"especially":[41],"Magic":[42],"Value":[43],"which":[45],"often":[46],"affect":[47],"source":[48,61,66,70,99,145,148],"readability":[50],"maintainability":[52],"in":[53,144],"a":[54,112],"software":[55],"development":[56],"industry.":[57],"approach":[59],"utilizes":[60],"analysis":[63],"using":[64,78],"two":[65,79],"representations":[68],"(raw":[69],"token":[73],"stream)":[74],"feature":[76,152],"extraction":[77,153],"text":[80],"mining":[81],"techniques":[82],"(Bag":[83],"Words/BoW":[85],"Term":[87],"Frequency-Inverse":[88],"Document":[89],"Frequency/TF-IDF).":[90],"The":[91,102],"experiment":[92],"involves":[93],"analyzing":[94],"983":[95],"records":[96],"labeled":[98],"datasets.":[101],"results":[103],"show":[104],"that":[105,157],"RVM":[106,139,158],"can":[107,159],"smells":[110,143],"with":[111],"very":[113],"high":[114,161],"level":[115],"accuracy,":[117],"reaching":[118],"99.9%":[119],"on":[120],"some":[121],"kernel":[122],"configurations,":[123],"also":[124],"nearly":[125],"perfect":[126],"precision,":[127],"F1":[129],"scores.":[130],"paper":[132],"contributes":[133],"introducing":[135],"detecting":[141],"code,":[146],"explores":[147],"representation":[150],"techniques,":[154],"shows":[156],"achieve":[160],"accuracy.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}