论文标题
更新功能点计数的重量值
Updating Weight Values for Function Point Counting
论文作者
论文摘要
尽管软件开发的生产率迅速增长，但分配给IBM 25年前创建的标准功能点（FP）的权重值从未被更新。这种过时提出了有关体重值有效性的关键问题。它还创造了其他问题，例如模棱两可的分类，清晰的边界以及主观和本地定义的权重值。所有这些挑战都表明需要校准FP，以便更准确地反映特定的软件应用程序上下文和当今软件开发技术的趋势。我们创建了一个FP校准模型，该模型结合了神经网络的学习能力以及使用模糊逻辑捕获人类知识的能力。使用ISBSG数据存储库的经验验证（版本8）显示，通过新校准，软件努力估算的准确性平均提高了22％。
While software development productivity has grown rapidly, the weight values assigned to count standard Function Point (FP) created at IBM twenty-five years ago have never been updated. This obsolescence raises critical questions about the validity of the weight values; it also creates other problems such as ambiguous classification, crisp boundary, as well as subjective and locally defined weight values. All of these challenges reveal the need to calibrate FP in order to reflect both the specific software application context and the trend of todays software development techniques more accurately. We have created a FP calibration model that incorporates the learning ability of neural networks as well as the capability of capturing human knowledge using fuzzy logic. The empirical validation using ISBSG Data Repository (release 8) shows an average improvement of 22% in the accuracy of software effort estimations with the new calibration.
