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Analysis and Estimate the Effect of Knowledge on Software Reliability Distribution

  • Chunhui YangEmail author
  • Yan GaoEmail author
  • Xuedong Kong
  • Dingfang Chen
  • Shengwu Xiong
  • Jianwen Xiang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10745)

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.

Keywords

Software knowledge Software test Reliability model Weibull distribution 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Wuhan University of TechnologyWuhanChina
  2. 2.Software Center, CEPREIGuangzhouChina
  3. 3.Key Laboratory for Performance and Reliability Testing of Foundational Software and HardwareMIITGuangzhouChina

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