使用软件测试输入的细粒度软件可靠性评估

2015 IEEE International Conference on Software Quality, Reliability and Security Pub Date : 2015-08-03 DOI:10.1109/QRS.2015.22

H. Okamura, Yuki Takekoshi, T. Dohi

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引用次数: 0

摘要

本文考虑利用软件测试输入信息进行基于模型的软件可靠性评估。具体地说，我们通过它们的测试输入来定义两个软件测试用例之间的距离，并估计测试输入的域已经被已经执行的测试用例覆盖的概率。在此基础上，建立了软件可靠性增长模型中的故障检测概率。通过数值实验，将该模型与现有的基于非齐次泊松过程的模型进行了比较，并在实际软件应用中进行了5000个测试输入的距离，讨论了测试信息对软件可靠性评估的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Fine-Grained Software Reliability Estimation Using Software Testing Inputs

This paper considers the model-based software reliability evaluation using the information on software testing inputs. Concretely, we define the distance between two software test cases by means of their testing inputs, and estimate the probability that the domain for a test input has already been covered by already-executed test cases. Based on the probability, we formulate the fault-detection probability in the software reliability growth model. In numerical experiments, we compare the proposed model with an existing non-homogeneous Poisson process based model with the distance of 5,000 test inputs in a real software application, and discuss the effect of test information on the software reliability evaluation.

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2015 IEEE International Conference on Software Quality, Reliability and Security

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