协同过率在工作量估算中的应用  

Application in Effort Estimation of Collaborate Filtering

作　　者：任雪利[1] 

机构地区：[1]曲靖师范学院计算机科学与工程学院,云南曲靖655011

出　　处：《软件》2013年第10期12-14,共3页Software

基　　金：云南省教育厅基金项目(2011QN010)

摘　　要：工作量估算是软件项目管理的重要内容之一,协同过滤是一种在历史数据中确定相似用户或物品产生推荐的方法,已成功的应用于电子商务、影视推荐等多个领域,本文将协同过滤技术应用于软件工作量的估算。首先对历史项目集中的数值型数据进行归一化,然后采用均值对缺失值进行插补,余弦用于计算项目的相似度,最后确定项目的近邻集对待评估项目的工作量进行估算。从USP05-FT中选择了4个项目作为实例来说明该估算过程,估算结果与实际值有一些偏差是由于协同过滤仅能处理数值型数据。Software effort estimation is an important aspect of project management, collaborative filtering is a method that produces recommend based on similarity of user or items in the historical data It has been successfully applied to e-commerce, video recommendations, and other fields, collaborative filtering technology is applied to software cost estimation in the paper. Firstly, the data of different types is normalized; then missing values are inputted by average value and similarity of items is computed using cosine; lastly; the project＇s neighbors are found to estimate effort. 4 projects data from USP05-FT are selected as an example to describe the estimation process. The deviation between estimates and the actual value derive from it that collaborative filtering can only handle numerical data.

关 键 词：软件工程 工作量估算 协同过滤 相似度 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]