Abstract
Changes in software source codes are unavoidable and source code of software is repetitively modified to meet user’s huge requirements. Largely there are three types of code changes occur in the source code namely, bug repair, feature enhancement and addition of new features. The change due to bug fix, improvement and accumulation of new features brings uncertainties in the bug removal rate. In the present work, these uncertainties have been explicitly modeled and using three-dimensional wiener processes that define the three types of fluctuation; we have come up with an entropy prediction modelling framework. The analytical solution of the equation is interpreted using Ito’s process. The models are fitted on three real life projects namely Avro, Hive and Pig of Apache open source software. The experimental findings show that present models exhibit accurate estimation results and have strong prediction skills.
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