{"id":"https://openalex.org/W4241607863","doi":"https://doi.org/10.1109/metric.2004.1357920","title":"Further comparison of cross-company and within-company effort estimation models for web applications","display_name":"Further comparison of cross-company and within-company effort estimation models for web applications","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W4241607863","doi":"https://doi.org/10.1109/metric.2004.1357920"},"language":"en","primary_location":{"id":"doi:10.1109/metric.2004.1357920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metric.2004.1357920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th International Symposium on Software Metrics, 2004. Proceedings.","raw_type":"proceedings-article"},"type":"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/A5085558039","display_name":"E. Mendes","orcid":"https://orcid.org/0000-0002-3859-3548"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"E. Mendes","raw_affiliation_strings":["Computer Science Department, University of Auckland, Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012102325","display_name":"Barbara Kitchenham","orcid":"https://orcid.org/0000-0002-6134-8460"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I56007636","display_name":"Keele University","ror":"https://ror.org/00340yn33","country_code":"GB","type":"education","lineage":["https://openalex.org/I56007636"]}],"countries":["AU","GB"],"is_corresponding":false,"raw_author_name":"B. Kitchenham","raw_affiliation_strings":["Department of Computer Science, Keele University, Staffordshire, UK","NICTA, Alexandria, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Keele University, Staffordshire, UK","institution_ids":["https://openalex.org/I56007636"]},{"raw_affiliation_string":"NICTA, Alexandria, NSW, Australia","institution_ids":["https://openalex.org/I42894916"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085558039"],"corresponding_institution_ids":["https://openalex.org/I154130895"],"apc_list":null,"apc_paid":null,"fwci":11.8362,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.98057175,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"348","last_page":"357"},"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/T10430","display_name":"Software Engineering Techniques and Practices","score":0.9983999729156494,"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":0.9980999827384949,"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":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5513868927955627},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.522966206073761},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.49907445907592773},{"id":"https://openalex.org/keywords/stepwise-regression","display_name":"Stepwise regression","score":0.49831318855285645},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4921240210533142},{"id":"https://openalex.org/keywords/web-application","display_name":"Web application","score":0.4835638701915741},{"id":"https://openalex.org/keywords/cost-estimate","display_name":"Cost estimate","score":0.4149791896343231},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2944568395614624},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25610893964767456},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2036357820034027},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14383003115653992}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5513868927955627},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.522966206073761},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.49907445907592773},{"id":"https://openalex.org/C170964787","wikidata":"https://www.wikidata.org/wiki/Q7611170","display_name":"Stepwise regression","level":2,"score":0.49831318855285645},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4921240210533142},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.4835638701915741},{"id":"https://openalex.org/C93983250","wikidata":"https://www.wikidata.org/wiki/Q795053","display_name":"Cost estimate","level":2,"score":0.4149791896343231},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2944568395614624},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25610893964767456},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2036357820034027},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14383003115653992},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metric.2004.1357920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metric.2004.1357920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th International Symposium on Software Metrics, 2004. Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W119251915","https://openalex.org/W1530489096","https://openalex.org/W2006013622","https://openalex.org/W2009403983","https://openalex.org/W2075848956","https://openalex.org/W2092528416","https://openalex.org/W2113199992","https://openalex.org/W2124455919","https://openalex.org/W2125791732","https://openalex.org/W2127177630","https://openalex.org/W2129707602","https://openalex.org/W2157922707","https://openalex.org/W2161074247","https://openalex.org/W2318989318","https://openalex.org/W4234731922","https://openalex.org/W4252684946","https://openalex.org/W6604829366","https://openalex.org/W6631634634"],"related_works":["https://openalex.org/W2350563281","https://openalex.org/W2357833734","https://openalex.org/W2371761458","https://openalex.org/W2356236133","https://openalex.org/W3215700490","https://openalex.org/W3198111542","https://openalex.org/W2371009016","https://openalex.org/W2366741315","https://openalex.org/W2093514813","https://openalex.org/W3128826735"],"abstract_inverted_index":{"This":[0],"paper":[1],"extends":[2],"a":[3,20,36,62],"previous":[4,74],"study,":[5,75],"using":[6,124,137],"data":[7,56,123],"on":[8,57,80,91],"67":[9],"Web":[10,59,64,115],"projects":[11,32,41,60,116],"from":[12,42,61,72,117],"the":[13,49,73,81,92,104,122,144,155],"Tukutuku":[14],"database,":[15],"investigating":[16],"to":[17,28,35,47,70,110],"what":[18],"extent":[19],"cross-company":[21,50,93,156],"cost":[22,106],"model":[23,54,83,107,147],"can":[24],"be":[25],"successfully":[26],"employed":[27,55],"estimate":[29,111],"effort":[30,112],"for":[31,113,143,154],"that":[33,77,98],"belong":[34],"single":[37,63],"company,":[38],"where":[39],"no":[40],"this":[43],"company":[44,146],"were":[45,68,84,100,141,152],"used":[46,109],"build":[48],"model.":[51,94,157],"Our":[52,66],"within-company":[53,82,105],"14":[58],"company.":[65],"results":[67],"similar":[69],"those":[71,89],"showing":[76],"predictions":[78,99,151],"based":[79,90],"significantly":[85],"more":[86],"accurate":[87],"than":[88],"We":[95,120,133],"also":[96],"found":[97,134],"very":[101],"poor":[102],"when":[103],"was":[108],"53":[114],"different":[118],"companies.":[119],"analysed":[121],"two":[125],"techniques,":[126],"forward":[127],"stepwise":[128,138],"regression":[129,139],"and":[130],"case-based":[131,149],"reasoning.":[132],"estimates":[135],"produced":[136],"models":[140],"better":[142,153],"within":[145],"while":[148],"reasoning":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
