A new high performance empirical model for software cost estimation

A software project can be successful when it is delivered on time, within the budget and maintaining the required quality as per client requirement. But in today's software industry, cost estimation is a critical issue for modern software developers. To estimate the effort and cost is significantly difficult and a challenging task. Since last 20 years' more than 30 models are already developed to estimate the effort and cost for the betterment of software industry. But these algorithms cannot satisfy the modern software industry due to the dynamic behaviour of the software for all kind of environments. On this study an empirical high performance interpolation model is developed to estimate the effort of the software projects. This model compares with the COCOMO based equations and predicts its result analysing individually taking different cost factors. The equation consists one independent variable (KLOC) and two constants a, b which are chosen empirically taking different NASA projects historical data and the results viewed in this model are compared with COCOMO model with different scale factor values.