Abstract
Assurance of software reliability is an important factor in software applications, and the process of software testing has become one of the essential requirements in soft-ware development. Many software reliability growth models have been developed based on non-homogeneous Poisson process, which incorporates logistic testing effort function. The paper proposed and developed a delayed S-shaped software reli-ability growth model with imperfect debugging, which integrates the Burr Type XII testing effort function. The testing effort function parameters are estimated by least square estimation method and S-shaped software reliability growth model param-eters by maximum likelihood estimation. Various software reliability growth mod-els are investigated through three data sets under perfect debugging and one data set under imperfect debugging. It is found that the proposed delayed S-shaped soft-ware reliability growth model with imperfect debugging has a better error prediction capability.
Original language | English |
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Article number | 56 |
Pages (from-to) | 1-23 |
Number of pages | 23 |
Journal | Operations Research Forum |
Volume | 2 |
Issue number | 4 |
DOIs | |
Publication status | Published - Oct 28 2021 |
Keywords
- Burr Type XII testing effort function
- Least square
- Maximum likelihood
- S-shaped software reliability growth model
- Software testing
ASJC Scopus subject areas
- Applied Mathematics
- Control and Optimization
- Computer Science Applications
- Economics, Econometrics and Finance (miscellaneous)