{"id":"https://openalex.org/W2028351151","doi":"https://doi.org/10.1145/1363686.1364116","title":"A GA-based feature selection and parameters optimization for support vector regression applied to software effort estimation","display_name":"A GA-based feature selection and parameters optimization for support vector regression applied to software effort estimation","publication_year":2008,"publication_date":"2008-03-16","ids":{"openalex":"https://openalex.org/W2028351151","doi":"https://doi.org/10.1145/1363686.1364116","mag":"2028351151"},"language":"en","primary_location":{"id":"doi:10.1145/1363686.1364116","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1363686.1364116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM symposium on Applied computing","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/A5066044608","display_name":"Petr\u00f4nio L. Braga","orcid":null},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Petr\u00f4nio L. Braga","raw_affiliation_strings":["Pernambuco State University, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pernambuco State University, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100615438","display_name":"Adriano L. I. Oliveira","orcid":"https://orcid.org/0000-0002-5614-229X"},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Adriano L. I. Oliveira","raw_affiliation_strings":["Pernambuco State University, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pernambuco State University, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110165399","display_name":"S\u00edlvio R. L. Meira","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Silvio R. L. Meira","raw_affiliation_strings":["Federal University of Pernambuco, Pernambuco, Brazil","Federal University of Pernambuco, Pernambuco - Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Pernambuco, Pernambuco, Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Federal University of Pernambuco, Pernambuco - Brazil","institution_ids":["https://openalex.org/I25112270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8038,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.94251601,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1788","last_page":"1792"},"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":0.989799976348877,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/support-vector-machine","display_name":"Support vector machine","score":0.7947924733161926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7346271872520447},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7331416606903076},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.6249234676361084},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6169477701187134},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.580374538898468},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5410228371620178},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.531364917755127},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5161734223365784},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5118665099143982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45339325070381165},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.43757423758506775},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.43235641717910767},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12276363372802734},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07934573292732239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05942448973655701}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7947924733161926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7346271872520447},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7331416606903076},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.6249234676361084},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6169477701187134},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.580374538898468},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5410228371620178},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.531364917755127},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5161734223365784},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5118665099143982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45339325070381165},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.43757423758506775},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.43235641717910767},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12276363372802734},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07934573292732239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05942448973655701},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1363686.1364116","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1363686.1364116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM symposium on Applied computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5199999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W53521131","https://openalex.org/W409166618","https://openalex.org/W1576426930","https://openalex.org/W1964357740","https://openalex.org/W1967019893","https://openalex.org/W2020355555","https://openalex.org/W2043584165","https://openalex.org/W2094198523","https://openalex.org/W2104615423","https://openalex.org/W2119821739"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W1980100242","https://openalex.org/W2530420969","https://openalex.org/W2113981829","https://openalex.org/W2112959154"],"abstract_inverted_index":{"The":[0],"precision":[1,67],"of":[2,5,8,17,45,68,82,104],"the":[3,6,15,43,66,69,88,93,102,113],"estimation":[4],"effort":[7,71],"software":[9,18,70,83],"projects":[10],"is":[11],"very":[12],"important":[13],"for":[14,27,50],"competitiveness":[16],"companies.":[19],"Machine":[20],"learning":[21],"methods":[22,31],"have":[23,90],"recently":[24],"been":[25],"applied":[26],"this":[28],"task,":[29],"included":[30],"based":[32],"on":[33,75],"support":[34],"vector":[35],"regression":[36],"(SVR).":[37],"This":[38],"paper":[39],"proposes":[40],"and":[41,58,106],"investigates":[42],"use":[44],"a":[46],"genetic":[47],"algorithm":[48],"approach":[49,96],"simultaneously":[51],"(1)":[52],"select":[53],"an":[54],"optimal":[55],"feature":[56],"subset":[57],"(2)":[59],"optimize":[60],"SVR":[61,105],"parameters,":[62],"aiming":[63],"to":[64,99],"improve":[65,100],"estimates.":[72],"We":[73],"report":[74],"experiments":[76],"carried":[77],"out":[78],"using":[79],"two":[80],"datasets":[81],"projects.":[84],"In":[85],"both":[86],"datasets,":[87],"simulations":[89],"shown":[91],"that":[92],"proposed":[94],"GA-based":[95],"was":[97],"able":[98],"substantially":[101],"performance":[103],"outperform":[107],"some":[108],"recent":[109],"results":[110],"reported":[111],"in":[112],"literature.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
