Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (33): 58-62.DOI: 10.3778/j.issn.1002-8331.2010.33.016

• 研发、设计、测试 • Previous Articles     Next Articles

Weight analysis of factors affecting software reliability

WU Hong-li1,2,JIANG Yong-hui1
  

  1. 1.College of Information Science and Technology,Hainan Normal University,Haikou 571158,China
    2.Chengdu Institute of Computer Application,Chinese Academy of Sciences,Chengdu 610041,China
  • Received:2010-05-25 Revised:2010-07-30 Online:2010-11-21 Published:2010-11-21
  • Contact: WU Hong-li

软件可靠性影响因素权重分析

吴洪丽1,2,蒋永辉1   

  1. 1.海南师范大学 信息科学技术学院,海口 571158
    2.中国科学院 成都计算机应用研究所,成都 610041
  • 通讯作者: 吴洪丽

Abstract: The main factors affecting software reliability must be considered firstly before early software reliability prediction model is studied.Determination of the factors weights can be said the “soul” of early prediction model.To the question about the advantages and disadvantages of the objective weighting method and the subjective weighting method,a combination weighting method based on BP neural network and MIV is proposed to analyze factors affecting software reliability.In this method,the sorting factors are got by subjective method firstly,and then the neural network with big and powerful nonlinear processing ability and MIV is used as objective analysis tools.At last the more objective and more explanatory weight value and sorting are got.

Key words: factors affecting software reliability, BP network, Mean Impact Value(MIV), weight analysis

摘要: 对软件可靠性早期预测模型的研究,首先必须考虑影响软件可靠性的主要因素。而影响因素权重的确定可以说是整个早期预测模型的“灵魂”。针对主观赋权法和客观赋权法的优缺点,提出了基于神经网络和MIV的组合赋权法来分析软件可靠性的影响因素。该方法首先根据主观赋权法得到影响因素的排序,然后利用神经网络的强大的非线性处理能力以及MIV进行客观分析,从而获得更客观更具解释性的权重值和排序。

关键词: 可靠性因素, BP网络, 平均影响值, 权重分析

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