Fault detection and correction are two different and yet important
activities for software developers. They both should go hand in hand for a good
debugging process. The two concepts have been mathematically studied in depth
and a lot seems to be in the pipeline. In the present framework, we have developed
some software reliability growth models (SRGMs) that inculcate the concept of
software in multi versions. The methodical approach of stochastic differential
equation has been used to model the scenario that unifiedly takes care of fault
detection and correction process. The proposed models are validated on Tandem
data set that comprises of four successive software releases and the results obtained
and authenticated by weighted criteria technique are promising.
Keywords: Convolution, Fault Correction Process (FCP), Fault Detection Process
(FDP), Multi release, Non–Homogenous Poisson Process (NHPP), SRGMs,
Stochastic Differential Equation (SDE), Tandem data set, Weighted criteria
approach.
