软件质量预测技术概述  

Introduction to Software Quality Prediction Technology

作　　者：高岩[1] 杨春晖[1] 熊婧[1] 

机构地区：[1]工业和信息化部电子第五研究所,广东广州510610

出　　处：《电子产品可靠性与环境试验》2015年第3期55-59,共5页Electronic Product Reliability and Environmental Testing

摘　　要：软件质量预测是对软件质量进行早期预测和控制的方法,其原理是在软件开发的早期根据与软件质量有关的度量数据,使用机器学习或者统计学方法来构建软件质量模型,通过分析计算得到软件质量的预测值,从而对软件系统中潜在的错误进行预测和预警。从软件质量预测的概念、模型框架、应用、发展前景和面临的挑战等方面对软件质量预测进行了系统的概述。Software quality prediction is the method to predict and control software quality in early stage.The principle of software quality prediction is to build software quality modules through machine learning and then obtain the predication by analyzing and calculating so as to forecast and monitor the potential errors in the software system according to the metrics data related to software quality in the early stage of software development. In this article, the concept, framework, application, prospects and challenges of software quality prediction are overviewed systematically.

关 键 词：软件质量 软件质量预测 机器学习 

分 类 号：TP311.53[自动化与计算机技术—计算机软件与理论]