A Fine-Grained Algorithm for Non-Parametric Software Reliability Estimation

In this paper, the authors improve a non-parametric order statistics-based software reliability model by Barghout, Littlewood and Abdel-Ghaly (1998), from the standpoints of estimation algorithm and reliability measure. More specifically, they introduce the kernel density estimation method with a truncated Gaussian kernel function and estimate the software fault-detection time distribution with higher accuracy. Also, they use the mean value of the inter-fault detection time instead of its median, and predict the future behavior of it sequentially.