Identifying a Direct Relationship between Predictive Object Point Metrics (POP) Count and Source Lines of Code (SLOC) for OO Software

Estimation of system size is the main issue for software developers during system development planning. It is very important in predicting the efforts precisely during the process of system development. The Predictive Object Point (POPs) input is an estimate of the size (new, adapted, modified or deleted) of the software for which the estimate is being performed. POPs are a metric suitable for estimating the size of object oriented software, based on the behaviours that each class is delivering to the system along with top level inputs describing the structure of a system. While there is no real mapping of SLOC to POPs exist. In this paper an attempt has been made to map directly the Predictive Object Point Metrics with Source Line of Code. Various projects have been taken for the validation of proposed direct relation between POP and SLOC.