FAST ABSTRACT: A Modified Genetic Algorithm for Parameter Estimation of Software Reliability Growth Models *
Chao-Jung Hsu, Chin‐Yu Huang, Tsan-Yuan Chen · 2008
In this paper, we propose a modified genetic algorithm (MGA) with calibrating fitness functions, weighted bit mutation, and rebuilding mechanism for the parameter estimation of software reliability growth models (SRGMs). An example using a real failure data is given to demonstrate the performance of proposed method. Experimental result shows that MGA is effective for estimating the parameters of SRGM.