Genetic Algorithm Based Optimal Testing Effort Allocation Problem for Modular Software
Software Reliability Growth Models (SRGM) are used to assess modular software quantitatively and predict the reliability of each of the modules during module testing phase. In the last few decades various SRGM's have been proposed in literature. However, it is difficult to select the best model from a plethora of models available. To reduce this difficulty, unified modeling approaches have been proposed by many researchers. In this paper, the authors present a generalized framework for software reliability growth modeling with respect to testing effort expenditure and incorporate the faults of different severity.