摘要
为改善传统功能点法在项目早期进行软件评估的缺陷,提出基于数据挖掘的方法,可快速实现项目早期的软件工作量评估。具体方法为通过对某具体领域的历史软件项目功能点及其工作量进行功能特征识别与工作量分析,建立不同功能点特征的工作量权值关系,可协助进行新项目的工作量快速评估。总结一个软件领域多个项目合计2000条功能点数据进行分析评估,最终清洗出1649条标准功能点工作量数据,建立工作量评估模型,然后用一个新的待评估项目进行模型精度验证。实验结果表明,基于数据挖掘功能点法的工作量评估方法精度高达74.7%,且随着累计的历史项目数据增多,不同功能特征的功能点工作量权值会不断迭代更新,精度越来越高,从而提升项目早期工作量评估精度。
In order to improve the defect of traditional function point method in software evaluation at the early stage of the project,put forward a method based on data mining,which can quickly realize the software workload evaluation in the early stage of the project.The specific method is to identify the function features and analyze the workload of the function points of the historical software project in a specific field,and establish the workload weight relationship of different function points,so as to help the quick workload assessment of the new project.A total of 2000 function point data of several projects in a specific software field are summarized for analysis and evaluation.Finally,1649 standard function point workload data are cleaned out,and the workload evaluation model is established.Then a new project to be evaluated is used to verify the accuracy of the model.The experimental results show that the accuracy of the method is as high as 74.7%.With more and more accumulated historical project data,the workload weights of function points with different functional characteristics will be updated iteratively with higher accuracy,so as to improve the accuracy of workload evaluation in the early stage of the project.
作者
张军
米杰
袁春花
王柯
黄阳
鲍自翔
ZHANG Jun;MI Jie;YUAN Chun-hua;WANG Ke;HUANG Yang;BAO Zi-xiang(Communication and Information Technology Center,Petro China Southwest Oil and Gas Field Company,Chengdu 610057,China)
出处
《软件导刊》
2022年第6期92-96,共5页
Software Guide
基金
中国石油西南油气田信通科研基金项目(XTZX-2020-8)。
关键词
数据挖掘
功能特征识别
工作量权值
工作量评估
data mining
function feature recognition
workload weight
workload evaluation
