摘要
针对软件可靠性工程领域中存在的不同可靠性模型预测相同软件结果不一致的问题,提出了一种用神经网络实现的软件可靠性多模型综合预测方法,能够有效地解决软件工程中的实际问题,通过实例分析验证了该方法的有效性。
In order to solve the problem which different results predicted by different reliability models for the same software in practice of reliability engineering of software, this paper presents a new method using neural network to get a multi-model prediction method for software reliability. This technique solves the problem in practice of reliability engineering of software more availably. It uses some data sets to demonstrate the approach＇s efficiency.
出处
《计算机工程》
EI
CAS
CSCD
北大核心
2006年第23期214-215,共2页
Computer Engineering
基金
国防科工委技术基础基金资助项目
关键词
软件可靠性预测
神经网络
多模型综合
Software reliability prediction
Neural network
Multi-model
