乐胖代购免代理版

{"id":"https://openalex.org/W2073798166","doi":"https://doi.org/10.1142/s0218194008003532","title":"SOFTWARE EFFORT ESTIMATION BY ANALOGY USING ATTRIBUTE SELECTION BASED ON ROUGH SET ANALYSIS","display_name":"SOFTWARE EFFORT ESTIMATION BY ANALOGY USING ATTRIBUTE SELECTION BASED ON ROUGH SET ANALYSIS","publication_year":2008,"publication_date":"2008-02-01","ids":{"openalex":"https://openalex.org/W2073798166","doi":"https://doi.org/10.1142/s0218194008003532","mag":"2073798166"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218194008003532","pdf_url":null,"source":{"id":"https://openalex.org/S131442419","display_name":"International Journal of Software Engineering and Knowledge Engineering","issn_l":"0218-1940","issn":["0218-1940","1793-6403"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","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/A5102758321","display_name":"Jingzhou Li","orcid":"https://orcid.org/0000-0003-3153-9554"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"funder","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"JINGZHOU LI","raw_affiliation_strings":["Software Engineering Decision Support Laboratory, University of Calgary, Calgary AB, T2N1N4, Canada"],"affiliations":[{"raw_affiliation_string":"Software Engineering Decision Support Laboratory, University of Calgary, Calgary AB, T2N1N4, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063455671","display_name":"Guenther Ruhe","orcid":"https://orcid.org/0000-0001-5651-1414"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"funder","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"GUENTHER RUHE","raw_affiliation_strings":["Software Engineering Decision Support Laboratory, University of Calgary, Calgary AB, T2N1N4, Canada"],"affiliations":[{"raw_affiliation_string":"Software Engineering Decision Support Laboratory, University of Calgary, Calgary AB, T2N1N4, Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102758321"],"corresponding_institution_ids":["https://openalex.org/I168635309"],"apc_list":null,"apc_paid":null,"fwci":5.222,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.961947,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":89},"biblio":{"volume":"18","issue":"01","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9999,"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":0.9999,"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":0.9967,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9694,"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"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.9051454},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.698105},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6802498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6099374},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5903542},{"id":"https://openalex.org/C521332185","wikidata":"https://www.wikidata.org/wiki/Q185816","display_name":"Analogy","level":2,"score":0.49658877},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.48369223},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.4723167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34843642},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3339483},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14814624},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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/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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218194008003532","pdf_url":null,"source":{"id":"https://openalex.org/S131442419","display_name":"International Journal of Software Engineering and Knowledge Engineering","issn_l":"0218-1940","issn":["0218-1940","1793-6403"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":16,"referenced_works":["https://openalex.org/W1575961892","https://openalex.org/W1603052457","https://openalex.org/W1892848734","https://openalex.org/W1976927254","https://openalex.org/W2004471480","https://openalex.org/W2011817553","https://openalex.org/W2017337590","https://openalex.org/W2088997887","https://openalex.org/W2106282576","https://openalex.org/W2127741023","https://openalex.org/W2131378644","https://openalex.org/W2136691316","https://openalex.org/W2157542847","https://openalex.org/W4232953319","https://openalex.org/W4237961478","https://openalex.org/W634043428"],"related_works":["https://openalex.org/W3123863469","https://openalex.org/W2768582344","https://openalex.org/W2469799552","https://openalex.org/W2392206215","https://openalex.org/W2388318061","https://openalex.org/W2365201483","https://openalex.org/W2355561779","https://openalex.org/W2352407775","https://openalex.org/W2186567693","https://openalex.org/W108701362"],"abstract_inverted_index":{"Estimation":[0],"by":[1,10,21,122,136,183],"analogy":[2],"(EBA)":[3],"predicts":[4],"effort":[5,23],"for":[6,142,149],"a":[7,29,59],"new":[8],"project":[9],"learning":[11],"from":[12,28],"the":[13,44,68,72,75,82,124],"performance":[14,73],"of":[15,25,67,74,85],"former":[16,87],"projects.":[17],"This":[18],"is":[19,110,116,154],"done":[20],"aggregating":[22],"information":[24],"similar":[26],"projects":[27],"given":[30],"historical":[31],"data":[32,94,144,161],"set":[33,108],"that":[34,58,96,157,163],"contains":[35],"projects,":[36],"or":[37],"objects":[38],"in":[39,51,112,156],"general,":[40,52],"and":[41,99,128,152,166,188],"attributes":[42,69],"describing":[43],"objects.":[45],"While":[46],"this":[47,113],"has":[48],"been":[49],"successful":[50],"existing":[53],"research":[54],"results":[55],"have":[56,97,164],"shown":[57],"carefully":[60],"selected":[61],"subset,":[62],"as":[63,65,174,176],"well":[64,175],"weighting,":[66,177],"may":[70],"improve":[71,81],"estimation":[76,83],"methods.":[77],"In":[78],"order":[79],"to":[80,119,140,194],"accuracy":[84,133],"our":[86],"proposed":[88,111,125,147],"EBA":[89],"method":[90,105,148],"AQUA,":[91],"which":[92,178],"supports":[93,160,171],"sets":[95,162],"non-quantitative":[98,165],"missing":[100,167],"values,":[101],"an":[102],"attribute":[103,126,150,172,185],"weighting":[104,127,151],"using":[106],"rough":[107],"analysis":[109],"paper.":[114],"AQUA":[115,120,137,141,192],"thus":[117],"extended":[118],"+":[121,138,193],"incorporating":[123],"selection":[129,153,173,186],"method.":[130],"Better":[131],"prediction":[132],"was":[134],"obtained":[135],"compared":[139],"five":[143],"sets.":[145],"The":[146],"effective":[155],"(1)":[158],"it":[159,170,190],"values;":[168],"(2)":[169],"are":[179],"not":[180],"supported":[181],"simultaneously":[182],"other":[184],"methods;":[187],"(3)":[189],"helps":[191],"produce":[195],"better":[196],"performance.":[197]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2073798166","counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-02-20T20:16:49.629252","created_date":"2016-06-24"}