An Improved Software Reliability Model Incorporating Debugging Time Lag

Software reliability growth models (SRGMs) based on the non-homogeneous Poisson process (NHPP) are quite successful tools that have been proposed to assess the software reliability. Most NHPP-SRGMs assume the detected faults are immediately corrected, but it is not the case in real environments. In this paper, incorporating the testing coverage, considering imperfect debugging and correcting time lag, we propose an improved NHPP-SRGM. Experimental results show that the proposed model fits the failure data quite well and has a fairly accurate prediction capability.