| 摘 要: 软件测试虽然可以提升揭错效率,但是未有对应的可靠性评估模型,难以实现精确的可靠性定量评估和预计。针对此问题,文章开展基于失效模式的软件可靠性评估模型构建研究。首先,基于运行剖面与输入空间计算失效模式概率;然后,构建基于马尔科夫过程与失效模式的软件可靠性评估模型,并在某型动力控制软件测试失效数据上开展工程应用。应用结果表明,软件可靠性评估模型的揭错效率提升了18.2%,测试工作量降低了54.4%,可以获得准确的软件可靠性评估结果,同时适用于软件可靠性测试。 |
| 关键词: 失效模式;软件可靠性;可靠性模型;可靠性评估 |
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中图分类号: TP311.5
文献标识码: A
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| 基金项目: 装备预先研究共用技术项目(50902050302). |
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| A Software Reliability Evaluation Model Based on Failure Modes |
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TIAN Lei1, FENG Liang1, LI Haifeng2
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(1.Eccom Network System Co., Ltd., Shanghai 201620, China;
2.Beihang University, Beijing 100183, China)
Tianlei@eccom.com.cn; fengliang@eccom.com.cn; lihaifeng@buaa.edu.com
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| Abstract: Although software testing can improve error detection efficiency, there is no corresponding reliability evaluation model and therefore, it is difficult to achieve accurate quantitative reliability evaluation and prediction. Aiming at this issue, the paper proposes a software reliability evaluation model based on failure modes. Firstly, the probability of failure modes is calculated based on the operating profile and input domain. Then, the software reliability evaluation model based on Markov process and failure modes is constructed, and engineering applications are carried out on the failure data of a certain type of power control software testing. The application results show that the error detection efficiency of the proposed software reliability evaluation model increases by 18.2% , and the testing workload is reduced by 54. 4% . Accurate software reliability evaluation results can be obtained, and it is suitable for software reliability testing. |
| Keywords: failure modes; software reliability; reliability model; reliability evaluation |
