Abstract
Software knowledge plays an important role in software testing and software reliability model. This paper proposes that software knowledge affects the software reliability distribution significantly based on the theoretical analysis on the Weibull distribution of defect density, and proof that the software knowledge amount mainly affects from the scale parameter c of Weibull distribution, while c can be expressed as a quantitative expression of software knowledge amount. In this paper, engineering experiment is carried out to verify the proposed conclusion, which shows that more knowledge testers have, the smaller the scale factor c of Weibull distribution becomes. Furthermore, according to the degree of the software knowledge, the trend of the problems found in testing can be predicted, so as to evaluate the reliability of the software.
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Yang, C., Gao, Y., Kong, X., Chen, D., Xiong, S., Xiang, J. (2018). Analysis and Estimate the Effect of Knowledge on Software Reliability Distribution. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2017. Lecture Notes in Computer Science(), vol 10745. Springer, Cham. https://doi.org/10.1007/978-3-319-74521-3_58
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DOI: https://doi.org/10.1007/978-3-319-74521-3_58
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