Model for optimizing software testing period using non homogenous poisson process based on cumulative test case prioritization

Most of the software organizations has trouble when deciding the release dates their product. This difficulty is due to the fact that an under tested software could lead to many bugs propping up at the client side which would in turn lead to expensive bug-fixes and more importantly loss of customer goodwill. On the other hand, testing beyond certain time would lead to loss of revenue to the organization due to the dilution of the early bird advantage. The aim of our paper is optimizes the time and cost of entire software. In this paper we used non homogeneous Poisson process model based on cumulative priority. Our paper also tries to answer when to release any software.