Katia Cristina A. Damaceno Borges, I. F. B. Tronto, Renato de Aquino Lopes, J. D. S. D. Silva
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引用次数: 6
Abstract
Software effort estimates is an important part of s oftware development work and provides essential input to project feasibility analyses, bi dding, 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, thu s 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.
软件工作量评估是软件开发工作的重要组成部分，并为项目可行性分析、预算编制和计划提供必要的输入。基于类比的估计模型是一种很有前途的方法，具有与算术方法相当的精度，并且可能更容易理解和应用。研究表明，所有模型都对质量和可用性数据敏感，因此需要系统的数据处理。本文提出了一种用于软件工作量估算的数据预处理方法。基于案例推理(Case Based Reasoning, CBR)的应用结果使我们能够提高估计的精度。
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