Productivity improvement in software projects using 2-dimensional probabilistic software stability model (PSSM)
P. Eugene Xavier, E. R. Naganathan · ACM SIGSOFT Software Engineering Notes · 2009
A 2-dimensional probabilistic model has been developed utilizing the properties of the Random Processes to enhance the stability of enterprise computing applications and hence the productivity factor of software projects. This innovative model would prove to be better than other estimation methods including various heuristic as well parametric approaches. A mapping of the "design domain" to the "development domain" and arriving at the correlation between the parameters of the two domains form the subject of this research. The probabilistic model developed is applied to enterprise computing applications for enhancing the productivity of software developers by minimizing the production time of the software application. The basic criteria being made use of here is to make use of the inverse relationship that exists between complexity of a software application and stability of the software. The probabilistic random process model is used to derive and utilize the correlation that exists between function points (used in Estimation Techniques) to the prime components defined in the Software Stability Model (viz., EBTs, BOs and IOs).