Prototype Evidence for Estimation of Release Time for Open-Source Software Using Shannon Entropy Measure

Software systems are updated either to provide more comfort to the users or to fix bugs present in the current version. Open-source software undergoes regular changes due to high user-end demand and frequent changes in code by the developer. Software companies try to make the interface more comfortable and user friendly, which requires frequent changes and updation at a certain period of time and addition of new features from time to time as per customer’s demand. In this paper, we have considered the bugs recorded in various bugzilla software releases and calculated the Shannon entropy for the changes in various software updates. We have applied multiple linear regression models to predict the next release time of the software. Performance has been measured using goodness-of-fit curve, different residual statistics and \(R^{2}\).