A Software Reliability Growth Model Considering Differences Between Testing and Operation

Zhao Jing, Liu Hongwei, Cui Gang, and Yang Xiaozong

Journal of Computer Research and Development > 2006 > 43(3): 503-508.

Zhao Jing, Liu Hongwei, Cui Gang, and Yang Xiaozong. A Software Reliability Growth Model Considering Differences Between Testing and Operation[J]. Journal of Computer Research and Development, 2006, 43(3): 503-508.

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A Software Reliability Growth Model Considering Differences Between Testing and Operation

Zhao Jing, Liu Hongwei, Cui Gang, and Yang Xiaozong

(School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001)

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Published Date: March 14, 2006

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Abstract

Abstract

The testing and operation environment may be essentially different, and thus the fault detection rate of testing is different from that of the operation phase. Based on the G-O model, the representative of non-homogeneous Poisson process (NHPP), the fault detection rate from testing to operation is transformed considering the differences of profile of these two phases, and then a more precise NHPP model (TO-SRGM) considering the differences of fault intensity of testing and operation phases is obtained. Finally, the unknown parameters are estimated by the least-squares method based on normalized data set. Experiments show that the goodness-of-fit of the TO-SRGM is better than those of the G-O model and PZ-SRGM on a data set.
- software reliability growth model,
- non-homogeneous Poisson process,
- software fault detection,
- learning curve,
- goodness-of-fit

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