{"id":"https://openalex.org/W2055058987","doi":"https://doi.org/10.1145/2639490.2639510","title":"The potential benefit of relevance vector machine to software effort estimation","display_name":"The potential benefit of relevance vector machine to software effort estimation","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2055058987","doi":"https://doi.org/10.1145/2639490.2639510","mag":"2055058987"},"language":"en","primary_location":{"id":"doi:10.1145/2639490.2639510","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2639490.2639510","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2639510&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Predictive Models in Software Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2639510&type=pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032643292","display_name":"Liyan Song","orcid":"https://orcid.org/0000-0003-1172-8825"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Liyan Song","raw_affiliation_strings":["The University of Birmingham, Edgbaston, Birmingham, UK","The University of Birmingham , Edgbaston , Birmingham , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Birmingham, Edgbaston, Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]},{"raw_affiliation_string":"The University of Birmingham , Edgbaston , Birmingham , UK","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064089961","display_name":"Leandro L. Minku","orcid":"https://orcid.org/0000-0002-2639-0671"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Leandro L. Minku","raw_affiliation_strings":["The University of Birmingham, Edgbaston, Birmingham, UK","The University of Birmingham , Edgbaston , Birmingham , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Birmingham, Edgbaston, Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]},{"raw_affiliation_string":"The University of Birmingham , Edgbaston , Birmingham , UK","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635494","display_name":"Xin Yao","orcid":"https://orcid.org/0000-0001-8837-4442"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xin Yao","raw_affiliation_strings":["The University of Birmingham, Edgbaston, Birmingham, UK","The University of Birmingham , Edgbaston , Birmingham , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Birmingham, Edgbaston, Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]},{"raw_affiliation_string":"The University of Birmingham , Edgbaston , Birmingham , UK","institution_ids":["https://openalex.org/I79619799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I79619799"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"52","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":1.0,"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":1.0,"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":0.9983000159263611,"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":0.9912999868392944,"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":0.7938846349716187},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7500560283660889},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.688134491443634},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.6400588750839233},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6176905632019043},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6001510620117188},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5910228490829468},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5483530163764954},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.5076092481613159},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.49492281675338745},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4909971058368683},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4675433039665222},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.46115896105766296},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.45642396807670593},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4420279264450073},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44015198945999146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4170168936252594},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11852574348449707},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.09506919980049133}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7938846349716187},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7500560283660889},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.688134491443634},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.6400588750839233},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6176905632019043},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6001510620117188},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5910228490829468},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5483530163764954},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.5076092481613159},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.49492281675338745},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4909971058368683},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4675433039665222},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46115896105766296},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.45642396807670593},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4420279264450073},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44015198945999146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4170168936252594},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11852574348449707},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.09506919980049133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/2639490.2639510","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2639490.2639510","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2639510&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Predictive Models in Software Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:Publications/6554924f-037e-475b-bd58-c337973623c2","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/6554924f-037e-475b-bd58-c337973623c2","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/6554924f-037e-475b-bd58-c337973623c2","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Song, L, Minku, L L & Yao, X 2014, 'The potential benefit of relevance vector machine to software effort estimation', the 10th International Conference, United Kingdom, 17/09/14 - 17/09/14 pp. 52-61. https://doi.org/10.1145/2639490.2639510","raw_type":"conferenceObject"},{"id":"pmh:oai:pure.atira.dk:publications/6554924f-037e-475b-bd58-c337973623c2","is_oa":false,"landing_page_url":"http://dl.acm.org/citation.cfm?doid=2639490.2639510","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.1145/2639490.2639510","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2639490.2639510","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2639510&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Predictive Models in Software Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3143037312","display_name":null,"funder_award_id":"EP/J017515","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6794522244","display_name":null,"funder_award_id":"EP/J017515/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8385396385","display_name":"DAASE: Dynamic Adaptive Automated Software Engineering","funder_award_id":"EP/J017515/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2055058987.pdf","grobid_xml":"https://content.openalex.org/works/W2055058987.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W38372507","https://openalex.org/W622067187","https://openalex.org/W1121979346","https://openalex.org/W1506806321","https://openalex.org/W1554944419","https://openalex.org/W1567512734","https://openalex.org/W1603123038","https://openalex.org/W1648445109","https://openalex.org/W1965441902","https://openalex.org/W1970660793","https://openalex.org/W1972632018","https://openalex.org/W1973624379","https://openalex.org/W1977635687","https://openalex.org/W2001851943","https://openalex.org/W2008233099","https://openalex.org/W2009786711","https://openalex.org/W2030918593","https://openalex.org/W2033564924","https://openalex.org/W2037664399","https://openalex.org/W2060293003","https://openalex.org/W2067752346","https://openalex.org/W2068816944","https://openalex.org/W2070567333","https://openalex.org/W2089232047","https://openalex.org/W2089850018","https://openalex.org/W2090954654","https://openalex.org/W2092528416","https://openalex.org/W2094198523","https://openalex.org/W2097670073","https://openalex.org/W2102899008","https://openalex.org/W2104236502","https://openalex.org/W2115606304","https://openalex.org/W2126510745","https://openalex.org/W2131378644","https://openalex.org/W2135452472","https://openalex.org/W2140246936","https://openalex.org/W2151005528","https://openalex.org/W2169116542","https://openalex.org/W2171033594","https://openalex.org/W2319824271","https://openalex.org/W2489782956","https://openalex.org/W2999905431","https://openalex.org/W4214553437","https://openalex.org/W4214560771","https://openalex.org/W4285719527","https://openalex.org/W6676940277"],"related_works":["https://openalex.org/W4291214623","https://openalex.org/W2168420310","https://openalex.org/W2366120162","https://openalex.org/W2244511066","https://openalex.org/W1983450045","https://openalex.org/W3195168932","https://openalex.org/W2349452475","https://openalex.org/W1996541855","https://openalex.org/W147281455","https://openalex.org/W2118247228"],"abstract_inverted_index":{"Three":[0],"key":[1],"challenges":[2],"faced":[3],"by":[4,35,214],"the":[5,31,36,59,77,82,117,183,205,241,262,288,294],"task":[6],"of":[7,79,174,186,232,274,290],"software":[8,23],"effort":[9,32,55],"estimation":[10,33],"(SEE)":[11],"when":[12,105,182],"using":[13,193],"predictive":[14,37,157],"models":[15],"are:":[16],"(1)":[17],"in":[18,46,81,200,208,226,230,266,272,293],"order":[19],"to":[20,30,63,72,76,109,180,286],"support":[21],"decision-making,":[22],"managers":[24],"should":[25,189,310],"have":[26,135],"access":[27],"not":[28,92],"only":[29],"given":[34,49],"model,":[38],"but":[39],"also":[40,279],"how":[41,52,233,281],"confident":[42],"this":[43,65,86,145,202],"model":[44],"is":[45,70,98,154,251,302],"estimating":[47],"a":[48,155,303],"project":[50],"and":[51,85,94,102,132,176,220,309],"likely":[53,71],"other":[54],"values":[56],"could":[57],"be":[58,110,113,178,190,236,284,311],"real":[60],"efforts":[61,185],"required":[62,184],"develop":[64],"project,":[66],"(2)":[67],"SEE":[68,126,213,257,308],"data":[69,83,96,107,121,270],"contain":[73],"noise,":[74,169],"due":[75],"participation":[78],"humans":[80],"collection,":[84],"noise":[87,291],"can":[88,177,235,283],"hinder":[89],"predictions":[90,173],"if":[91],"catered,":[93],"(3)":[95],"collection":[97],"an":[99],"expensive":[100],"task,":[101],"guidelines":[103],"on":[104,141],"new":[106,187],"need":[108],"collected":[111,191],"would":[112],"helpful":[114],"for":[115,130,159,192,212,239,307],"reducing":[116],"cost":[118],"associated":[119],"with":[120,255],"collection.":[122],"However,":[123],"even":[124],"though":[125],"has":[127],"been":[128,136],"studied":[129],"decades":[131],"many":[133],"predictors":[134],"proposed,":[137],"few":[138],"methods":[139],"focus":[140],"these":[142,161],"issues.":[143],"In":[144,296],"work,":[146],"we":[147,298],"show":[148,248,299],"that":[149,199,249,300],"relevance":[150],"vector":[151],"machine":[152],"(RVM)":[153],"promising":[156,305],"method":[158],"addressing":[160,240],"three":[162],"challenges.":[163,244],"More":[164],"specifically,":[165],"it":[166,170],"explicitly":[167],"handles":[168],"provides":[171,204],"probabilistic":[172],"effort,":[175],"used":[179,285],"identify":[181],"projects":[188],"them":[194],"as":[195],"training":[196],"examples.":[197],"With":[198],"mind,":[201],"work":[203],"first":[206,263],"step":[207],"exploiting":[209],"RVM's":[210],"potential":[211],"validating":[215],"both":[216],"its":[217],"point":[218],"prediction":[219,221],"intervals.":[222],"It":[223],"then":[224],"explains":[225],"detail":[227],"future":[228],"directions":[229],"terms":[231,273],"RVMs":[234],"further":[237,312],"exploited":[238],"above":[242],"mentioned":[243],"Our":[245],"systematic":[246],"experiments":[247],"RVM":[250,282,301],"very":[252,304],"competitive":[253],"compared":[254],"state-of-the-art":[256],"approaches,":[258],"being":[259],"usually":[260],"ranked":[261],"or":[264],"second":[265],"7":[267],"across":[268],"11":[269],"sets":[271],"mean":[275],"absolute":[276],"error.":[277],"We":[278],"demonstrate":[280],"judge":[287],"amount":[289],"present":[292],"data.":[295],"summary,":[297],"predictor":[306],"exploited.":[313]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}