Quantifying the effectiveness of testing efforts on software fault detection with a logit software reliability growth model

Quantifying the effectiveness of testing efforts on software fault detection with a logit software reliability growth model
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使用 Logit 软件可靠性增长模型量化软件故障检测测试工作的有效性

DOI:
10.1109/iwsm-mensura.2011.26
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发表时间:
2011
期刊:
Proceedings of 2011 Joint Conference of the 21st International Workshop on Software Measurement (IWSM-2011) and the 6th International Conference on Software Process and Product Measurement (MENSURA-2011)
影响因子:
--
通讯作者:
T.Dohi
T.Dohi
中科院分区:
--
文献类型:
--
作者:
H.Okamura;Y.Etani;T.Dohi

文献摘要

相似文献

量化测试次数等软件测试度量对故障检测能力的影响对于设计和管理有效的软件测试具有重要意义。本文重点研究了软件测试度量与故障检测概率之间因果关系的回归模型。在一个数值实验中,我们通过量化软件测试度量来进行因果关系的定量估计。
Quantifying the effects of software testing metrics such as the number of test runs on the fault detection ability is quite important to design and manage effective software testing. This paper focuses on the regression model which represents the causal relationship between the software testing metrics and the fault detection probability. In a numerical experiment, we perform the quantitative estimation of the causal relationship through the quantization of software testing metrics.