Effort Estimation of Agile Development using Fuzzy Logic

Abhishek Saini, Laxmi Ahuja, S. Khatri
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引用次数: 9

Abstract

Effort Estimation is one of the most important factors for a successful project. Mostly it is done in the starting of the project life cycle. The vital activity in Agile project organization is a prediction of Software development this is because a project that is available in the beginning is not sufficient and moreover it is not clear because of the confliction. Getting accurate Effort Estimation for any software project has been a challenge always. In this paper fuzzy logic model is used to find Effort Estimation of Agile software development. In this model Fuzzy method is used to take the raw data of actual figures and output is given as the estimated effort available from industry. This way is more suitable when data is not available for analyzing by orthodox method. Basic idea is taken from Human where action and Inaction are not obvious, they are not clear. In this paper we will use three input variable to calculate Efforts estimation i.e User soty, Team Expertise and Complexity. In this manner, it is quite difficult to discover goals in more exact and clear simple way.
基于模糊逻辑的敏捷开发工作量估算
工作量估算是项目成功的最重要因素之一。大多数情况下,它是在项目生命周期的开始阶段完成的。敏捷项目组织中的重要活动是对软件开发的预测,这是因为一开始可用的项目是不够的,而且由于冲突,它还不清楚。为任何软件项目获得准确的工作量估算一直是一个挑战。本文将模糊逻辑模型用于敏捷软件开发的工作量估算。在该模型中,采用模糊方法对实际数字的原始数据进行模糊处理,并给出产业界可提供的估计工作量。这种方法更适用于无法用传统方法分析数据的情况。基本思想来自《人类》,其中行动和不行动并不明显,它们并不清楚。在本文中,我们将使用三个输入变量来计算工作量估计,即用户数量,团队专业知识和复杂性。在这种情况下,很难以更准确、更清晰、更简单的方式发现目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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