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Application of EM Algorithm to NHPP-Based Software Reliability Assessment with Generalized Failure Count Data
| Content Provider | MDPI |
|---|---|
| Author | Okamura, Hiroyuki Dohi, Tadashi |
| Copyright Year | 2021 |
| Description | Software reliability models (SRMs) are widely used for quantitative evaluation of software reliability by estimating model parameters from failure data observed in the testing phase. In particular, non-homogeneous Poisson process (NHPP)-based SRMs are the most popular because of their mathematical tractability. In this paper, we focus on the parameter estimation algorithm for NHPP-based SRMs and discuss the EM algorithm for generalized fault count data. The presented algorithm can be applied for failure time data, failure count data, and their mixture. The paper derives the EM-step formulas for basic 12 NHPP-based SRMs and demonstrate a numerical experiment to present the convergence property of our algorithms. The developed algorithms are suitable for an automatic tool for software reliability evaluation. |
| Starting Page | 985 |
| e-ISSN | 22277390 |
| DOI | 10.3390/math9090985 |
| Journal | Mathematics |
| Issue Number | 9 |
| Volume Number | 9 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-04-27 |
| Access Restriction | Open |
| Subject Keyword | Mathematics Characterization and Testing of Materials Software Reliability Model Maximum Likelihood Estimation Em Algorithm Non-homogeneous Poisson Process Generalized Failure Count Data |
| Content Type | Text |
| Resource Type | Article |
