Abstract

There are number of software development estimation techniques exist for sizing software systems and to support cost measurement like SLOC, Function Point etc. but none is directly applicable to object-oriented software. They all work for specific development environment. PRICE systems has developed the predictive object point (POP) metric for predicting effort required for developing an object oriented software system. This is based on the counting scheme of function point (FP) method. POP count results from the measurement of the object-oriented properties of the system. This paper explains how to calculate the POP values for Java Projects. An automation tool for measuring Predictive Object Points with more accuracy has been built. The tool and results of its application for Java Projects are presented and discussed.

Keyword

Software Measurement, Object Orientation, Functional size measurement, Software Metrics, Predictive Object Point, Automation.

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