Optimization of cost to calculate the release time in software reliability using python

As the competition among softwares have been increasing day by day, it made the IT sector to grow at different level. Whenever a software product comes into the market, a list of factors begin to originate and demand for changes. Hence there can arise defects in the software and so defects needed to be repaired. Also sales and demands of softwares are increasing day by day . So it becomes difficult to decide which software will be appropriate for the customer. As competitors are adding features and functions everyday to evolve technology that requires new upgrades to support latest versions of software. In order to maintain these new features, to win over prospects , testing is required to be done. Testing can be seen for technical case, business case, and economical case and especially for the reliability estimation.The prediction of faults in the software is another term in case of determining the outcome of the software product and the certain number of testing will be needed. Software reliability models techniques are employed for the perfect optimization on its release time. This research gives the idea of using both original release time and predicted release time to be executed and hence to obtain an optimized cost for release time. This will help to decide the effective cost of reliability of the software. Further going, this will help the customer to have the better selection on choosing the effective software. Thus through the python we have optimized the cost and found the release time of software to decide that this software will give the better output.