Measuring Reliability Growth of Open Source Software by Applying Stochastic Differential Equations

This, paper presents (i) several software reliability, growth models (SRGM) which tries to predict, quantitatively the failure, phenomena, in, an, Open, Source, Software, project over a period of time. Here, it is assumed that the number of failures during testing is dependent upon the number of instructions execution, (ii) in order to cater the, irregular state, of, bug-report, phenomena, on, the, bug tracking system and irregular fluctuation in terms of noise, the reliability models have been proposed by applying an Itô type Stochastic Differential Equations (SDE). We have demonstrated that proposed models can support management in building reliable software systems by predicting remaining bugs. We have also compared our proposed models with several existing models on the basis of different comparison criteria.