{"id":"https://openalex.org/W2808949421","doi":"https://doi.org/10.1145/3183440.3194974","title":"Machine learning based code smell detection through WekaNose","display_name":"Machine learning based code smell detection through WekaNose","publication_year":2018,"publication_date":"2018-05-27","ids":{"openalex":"https://openalex.org/W2808949421","doi":"https://doi.org/10.1145/3183440.3194974","mag":"2808949421"},"language":"en","primary_location":{"id":"doi:10.1145/3183440.3194974","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3183440.3194974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings","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/A5060082325","display_name":"Umberto Azadi","orcid":null},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Umberto Azadi","raw_affiliation_strings":["Universit\u00e0 degli Studi di Milano Bicocca, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e0 degli Studi di Milano Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024421637","display_name":"Francesca Arcelli Fontana","orcid":"https://orcid.org/0000-0002-1195-530X"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesca Arcelli Fontana","raw_affiliation_strings":["Universit\u00e0 degli Studi di Milano Bicocca, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e0 degli Studi di Milano Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043908316","display_name":"Marco Zanoni","orcid":"https://orcid.org/0000-0002-6590-0195"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Zanoni","raw_affiliation_strings":["Universit\u00e0 degli Studi di Milano Bicocca, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e0 degli Studi di Milano Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66752286"],"apc_list":null,"apc_paid":null,"fwci":1.8678,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87718449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"288","last_page":"289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9998999834060669,"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/T10260","display_name":"Software Engineering Research","score":0.9998999834060669,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9918000102043152,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9803000092506409,"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/code-smell","display_name":"Code smell","score":0.9506919384002686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8153178095817566},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6731761693954468},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6427314281463623},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5934700965881348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5501683950424194},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5460115671157837},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4957371652126312},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.436969518661499},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4204927086830139},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4168829023838043},{"id":"https://openalex.org/keywords/software-quality","display_name":"Software quality","score":0.2440148890018463},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.23414269089698792},{"id":"https://openalex.org/keywords/software-development","display_name":"Software development","score":0.16353493928909302}],"concepts":[{"id":"https://openalex.org/C133237599","wikidata":"https://www.wikidata.org/wiki/Q2295111","display_name":"Code smell","level":5,"score":0.9506919384002686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8153178095817566},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6731761693954468},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6427314281463623},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5934700965881348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5501683950424194},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5460115671157837},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4957371652126312},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.436969518661499},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4204927086830139},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4168829023838043},{"id":"https://openalex.org/C117447612","wikidata":"https://www.wikidata.org/wiki/Q1412670","display_name":"Software quality","level":4,"score":0.2440148890018463},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.23414269089698792},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.16353493928909302},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3183440.3194974","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3183440.3194974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings","raw_type":"proceedings-article"},{"id":"pmh:oai:boa.unimib.it:10281/219109","is_oa":false,"landing_page_url":"http://hdl.handle.net/10281/219109","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W649920412","https://openalex.org/W1986136726","https://openalex.org/W1988997230","https://openalex.org/W2103134547","https://openalex.org/W2153887189","https://openalex.org/W2715183888"],"related_works":["https://openalex.org/W3134933787","https://openalex.org/W3116338676","https://openalex.org/W2786648929","https://openalex.org/W2774816643","https://openalex.org/W4245648766","https://openalex.org/W4286793953","https://openalex.org/W2806610047","https://openalex.org/W2031808517","https://openalex.org/W2950234014","https://openalex.org/W4205203654"],"abstract_inverted_index":{"Code":[0],"smells":[1,41,77],"can":[2,78,138],"be":[3],"subjectively":[4],"interpreted,":[5],"the":[6,14,17,25,45,73,156],"results":[7,18,29],"provided":[8],"by":[9,149],"detectors":[10,55],"are":[11,42],"usually":[12],"different,":[13],"agreement":[15],"in":[16],"is":[19,30,129],"scarce,":[20],"and":[21,83],"a":[22,48,91,94,98,109,150,168],"benchmark":[23],"for":[24,90],"comparison":[26],"of":[27,47,50,70,75,159],"these":[28],"not":[31,148],"yet":[32],"available.":[33],"The":[34,126],"main":[35,157],"approaches":[36],"used":[37],"to":[38,64,87,113,117,130],"detect":[39],"code":[40,53,99,119,151],"based":[43],"on":[44],"computation":[46],"set":[49],"metrics.":[51],"However":[52],"smell":[54,100,120],"often":[56],"use":[57],"different":[58,61],"metrics":[59],"and/or":[60,133],"thresholds,":[62],"according":[63],"their":[65],"detection":[66,121],"rules.":[67],"As":[68],"result":[69],"this":[71,84,104],"inconsistency":[72],"number":[74],"detected":[76],"increase":[79],"or":[80,101,143,147],"decrease":[81],"accordingly,":[82],"makes":[85],"hard":[86],"understand":[88],"when,":[89],"specific":[92],"software,":[93],"certain":[95],"characteristic":[96],"identifies":[97],"not.":[102],"In":[103],"work,":[105],"we":[106],"introduce":[107],"WekaNose,":[108],"tool":[110],"that":[111,137],"allows":[112],"perform":[114],"an":[115,140,163],"experiment":[116],"study":[118],"through":[122,162],"machine":[123],"learning":[124],"techniques.":[125],"experiment's":[127],"purpose":[128],"select":[131],"rules,":[132],"obtain":[134],"trained":[135],"algorithms,":[136],"classify":[139],"instance":[141],"(method":[142],"class)":[144],"as":[145],"affected":[146],"smell.":[152],"These":[153],"rules":[154],"have":[155],"advantage":[158],"being":[160],"extracted":[161],"example-based":[164],"approach,":[165],"rather":[166],"then":[167],"heuristic-based":[169],"one.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
