Multi-model Prediction Method for Software Reliability

doi:10.3969/j.issn.1000-3428.2006.23.076

Computer Engineering ›› 2006, Vol. 32 ›› Issue (23): 214-215. doi: 10.3969/j.issn.1000-3428.2006.23.076

• Artificial Intelligence and Recognition Technology • Previous Articles Next Articles

Multi-model Prediction Method for Software Reliability

WU Qin, HOU Chaozhen, YUAN Jumei

(Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081)

Received:1900-01-01 Revised:1900-01-01 Online:2006-12-05 Published:2006-12-05

软件可靠性多模型综合的预测方法

吴勤，侯朝桢，原菊梅

（北京理工大学信息科学技术学院自动控制系，北京 100081）

Abstract

Abstract: 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.

Key words: Software reliability prediction, Neural network, Multi-model

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。

关键词: 软件可靠性预测, 神经网络, 多模型综合

WU Qin; HOU Chaozhen; YUAN Jumei. Multi-model Prediction Method for Software Reliability[J]. Computer Engineering, 2006, 32(23): 214-215.

吴勤;侯朝桢;原菊梅. 软件可靠性多模型综合的预测方法[J]. 计算机工程, 2006, 32(23): 214-215.

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