Mapping Predictive Object Point Metrics (POP) with Software Size in OO Environment
Shubha Jain, Vijay Kumar Yadav, Raghuraj Singh · 2014
Estimating the size of OO software is the main issue today in project planning and development. Accurate estimation of size may lead to precise prediction of effort during the process of system development. Predictive Object Point POPs are a metric designed specifically for estimating the size of object oriented software. But there is no direct relation between POP and Software size. In this paper various issues while mapping POP with software size have been discussed. The factors responsible for the variation in mapping procedure have been identified. Here it is suggested that the POP Count may be mapped to corresponding software size (KLOC) for the projects belong to the same OO environment only which may further help in prediction of effort and cost for that projects.