Anais do XXVI Congresso da SBC SEMISH l XXXIII Seminário Integrado de Software e Hardware Melhorando as Estimativas de Esforço de Software

Abstract. Good practices of software project management are basic requirements for the companies that want to stay at the market, because the effective project management allows to improve the quality of the products and to reduce the costs. For so much, it is fundamental to predict the size, effort, resources, cost and time spent in the software development process. In this paper, predictive analogy-based models are investigated aiming al establishing more simple software effort estimation methods alternatives to assist, mainly, the small software organization. The results presented shown that the performance of case-based reasoning models can be better using an attribute subset selection method for accomplish effort estimates. Resumo. Boas práticas de gerenciamento de projetos é um requisito básico para as empresas que querem permanecer no mercado, melhorando a qualidade dos produtos e reduzindo seus custos. Para tanto, é fundamental realizar estimativas de tamanho, esforço, recursos, custo e tempo. Modelos de estimativa, tais como modelos baseados em analogia, podem ser uma alternativa, principalmente, para pequenas empresas de desenvolvimento de software que precisam realizar estimativas confiáveis de forma simples e rápida. Neste estudo, verificou-se que estimativas usando Raciocínio Baseado em Casos – RBC são encorajadoras e podem ser melhoradas através do uso de um método de seleção do subconjunto de atributos

A Data Pre-Processing Method for Software Effort Estimation Using Case-Based Reaso

Software effort estimates is an important part of software development work and provides essential input to project feasibility analyses, bidding, budgeting and planning. Analogy-based estimates models emerge as a promising approach, with comparable accuracy to arithmetic methods, and it is potentially easier to understand and apply. Studies show all the models are sensitive to the quality and availability data, thus requiring a systematic data treatment. In this paper, it is proposed a data pre-processing method for use in software effort estimate. The results of it on applying on applying Case Based Reasoning - CBR that enables us to enhance the precision of the estimates