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.
|Number of pages||23|
|Journal||Springer Nature Operations Research Forum|
|Publication status||Published - Oct 28 2021|