1. In a data processing system, a method for determining projected usage and reliability of a software system, said method comprising: receiving one or more test data inputs in a first algorithm and a second algorithm, wherein the one or more test data inputs are utilized to simulate test conditions of the software system, wherein the first algorithm is a first even distribution-based algorithm which calculates roundup((I 4 / ((I 1 *60/I 3 )/I 5 )),0), where I 1 , I 3 , I 4 and I 5 are test data inputs, wherein the second algorithm is a second even distribution-based algorithm which calculates rounddown(((I 1 *3600-rounddown(I 4 *I 5 /T 1 , 0)*I 3 *60) /rounddown(I 4 *I 5 /T 1 ,0)),0), where T 1 is a first test parameter, and wherein the one or more test data inputs replace one or more variables in the first algorithm and one or more variables in the second algorithm; generating a first test parameter and a second test parameter, wherein the first test parameter is calculated by evaluating the one or more test data inputs by the first algorithm, and wherein the second test parameter is calculated by evaluating the one or more test data inputs by the second algorithm; forwarding the first test parameter, the second test parameter, and the one or more test data inputs to a third algorithm which calculates (I 1 *3600/(T 2 +I 3 *60)/I 5 *T 1 ), where T 2 is a second test parameter; in response to calculating the first test parameter via the first even distribution-based algorithm and the second test parameter via the second even-distribution based algorithm, receiving the first test parameter and the second test parameter in the third algorithm, wherein the third algorithm is a third even distribution-based algorithm; and the third algorithm generating a number of projected users of the software system, wherein the number of projected users of the software system is calculated by evaluating the one or more test data inputs, the first test parameter, and the second test parameter via the third algorithm.