This study presents the development of an Automated Predictive Object Point Analyzer (APA) tool designed to measure Predictive Object Point (POP) metrics across a specific number of software projects. A detailed size and effort analysis was conducted based on the tool’s results, confirming the effectiveness of POP metrics in estimating software size. This validation highlights the ease with which POPs can be introduced in environments with historical data on traditional metrics. Through analyzing various projects using the APA tool, it was observed that the existing POP count calculations could be simplified to improve system comprehension and further validate the results. A refined formula for calculating POP metrics was developed, enhancing the accuracy of effort estimation and simplifying the system. Additionally, the complexity of the APA tool was assessed in terms of execution time and compared with a previous version of the tool. The simplification in calculations has made the APA tool more user-friendly, improving its practicality for software practitioners.