Generalized software fault detection and correction modeling framework through imperfect debugging, error generation and change point

Abstract

In this paper, a non homogeneous Poisson process based unified scheme for two stage fault detection and fault correction software reliability model is proposed under realistic environment of imperfect debugging, error generation and change-point. Due to complexity of faults, the testers may be unable to correct the fault upon detection leaving the actual fault to dwell in the software, termed as imperfect debugging or there may be replacement of original fault by other fault, leading to error generation. Also, the factors like test cases, skill, efficiency, learning etc. may not remain static during the whole phase of testing. They may change at any time moment causing the various parameters to change known as change-point. Here, fault detection and correction are taken as two stage processes because it is quite unrealistic to say that fault correction immediately follows detection without having a time lag between the two. The developed model is numerically illustrated on tandem data set and compared with existing model. It is concluded that the results obtained here are much better than the existing one.