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首页> 外文会议>2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining >Conversion of Function Points between NESMA and IFPUG method
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Conversion of Function Points between NESMA and IFPUG method

机译：NESMA和IFPUG方法之间的功能点转换

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摘要

FSM has proven to be a reliable method for organizations to estimate software and to compare productivity. But the concepts and estimating procedures of FSM methods are often too complex, detailed requirement and much training for staff is needed when estimating a project. A relative simple and accurate FPA (Function Point Analysis) method which can be applied early in the system life cycle will be very meaningful to organizations. The indicative function point count in NESMA, which is well known as “the Dutch Method”, is a simplified function point method. The Dutch method does not require a detailed specification which is fit for early estimation of the project, but the estimate result is usually inaccurate; IFPUG method provides more accurate results while it follows a complete counting procedure. This paper adopts unary linear regression analysis method to analyze datasets which were gathered from different organizations and gives a conversion model between Dutch method and IFPUG. The model is validated by using software projects measurements in both estimation methods, and the result is very close to IFPUG.
机译：FSM已被证明是组织评估软件和比较生产率的可靠方法。但是，FSM方法的概念和估算程序通常过于复杂，要求严格，并且在估算项目时需要对人员进行大量培训。可以在系统生命周期的早期应用的相对简单且准确的FPA（功能点分析）方法对组织而言非常有意义。 NESMA中的指示性功能点计数，即众所周知的“荷兰方法”，是一种简化的功能点方法。荷兰的方法并不需要适合于项目早期评估的详细规范，但是评估结果通常是不准确的。当遵循完整的计数程序时，IFPUG方法可提供更准确的结果。本文采用一元线性回归分析方法来分析从不同组织收集的数据集，并给出了荷兰方法和IFPUG之间的转换模型。通过使用两种估算方法中的软件项目测量来验证该模型，其结果与IFPUG非常接近。

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