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dc.contributor.authorCanedo, Edna Dias-
dc.contributor.authorCosta, Ruyther Parente da-
dc.date.accessioned2018-08-23T15:16:31Z-
dc.date.available2018-08-23T15:16:31Z-
dc.date.issued2018-
dc.identifier.citationCANEDO, Edna Dias; COSTA, Ruyther Parente da. Methods and metrics for estimating and planning agile software projects. In: AMERICAS CONFERENCE ON INFORMATION SYSTEMS, 24th., 2018, New Orleans. Proceedings... New Orleans: Lousiania State University, 2018.pt_BR
dc.identifier.urihttp://repositorio.unb.br/handle/10482/32467-
dc.descriptionTrabalho financiado pelo Edital DPI / DPG - UnB n° 02/2018 (Apoio à Publicação de Artigos em Anais de Eventos, resultantes de Pesquisa Científica, Tecnológica e de Inovação de servidores do Quadro da Universidade de Brasília).pt_BR
dc.language.isoInglêspt_BR
dc.publisherLousiania State Universitypt_BR
dc.rightsAcesso Abertopt_BR
dc.titleMethods and metrics for estimating and planning agile software projectspt_BR
dc.typeTrabalhopt_BR
dc.subject.keywordSoftware - desenvolvimentopt_BR
dc.rights.licenseAutorização concedida ao Repositório Institucional da Universidade de Brasília (RIUnB) pela Professora Doutora Edna Dias Canedo, em 21 de agosto de 2018, para disponibilizar o trabalho, gratuitamente, para fins de leitura, impressão e/ou download, a título de divulgação da obra.pt_BR
dc.description.abstract1The nature of agile software projects is different from software projects that use traditional methodologies. Therefore, using traditional techniques of estimates of effort, time and cost can produce imprecise estimates. Several estimation techniques have been proposed by several authors and developers in recent years. This work performs a Systematic Literature Review (SLR) of current estimates practices in the development of agile software and the most used size metrics as inputs for these estimates, collecting and documenting them for a future comparison of their accuracy. With the realization of SLR, it was identified that Story Point and Point of Function are the most used metrics in agile projects as the basis for estimating size, time, effort, productivity and cost. Based on these two-size metrics, it was performed a case study with the estimation of effort, time and cost for an agile project of a software factory, where the actual development values were compared with the estimates made to analyze which provided the estimates that most closely approximated the actual values that were estimated.pt_BR
dc.description.unidadeInstituto de Ciências Exatas (IE)pt_BR
dc.description.unidadeDepartamento de Ciência da Computação (IE CIC)-
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