Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
806948 | Reliability Engineering & System Safety | 2013 | 7 Pages |
Abstract
This paper proposes software reliability growth models (SRGM) where the software failure time follows a normal distribution. The proposed model is mathematically tractable and has sufficient ability of fitting to the software failure data. In particular, we consider the parameter estimation algorithm for the SRGM with normal distribution. The developed algorithm is based on an EM (expectation-maximization) algorithm and is quite simple for implementation as software application. Numerical experiment is devoted to investigating the fitting ability of the SRGMs with normal distribution through 16 types of failure time data collected in real software projects.
Related Topics
Physical Sciences and Engineering
Engineering
Mechanical Engineering
Authors
Hiroyuki Okamura, Tadashi Dohi, Shunji Osaki,