With the growing testing complexity and coverage, the project team handle increasingly vast amounts of test data (>20K datalog lines) and working with larger project team (>20 Apps). There are challenges and complexity with direct Test Tracker generation, accurate Test Tracker updates, and large project team coordination on weekly Test Tracker updates. Inefficient handling of complexity may lead to delays, errors, and decreased productivity.

To address the challenges of navigating the intricacy when managing the quality of test program development and tracking an extensive conversion project. This presentation will introduce a solution, namely iLogTracker (intelligent Datalog Tracker). The tool has the ability to read STDF file directly and generate Test Tracker with a click of a button. It automates the subsequent progress tracking by including a datalog audit report as an initial step to ensure the quality of the test program. Additionally, it offers an alternative solution to manage the Test Tracker at customer sites where file access is restricted.

This tool aims to simplify the progress tracking update process, optimize team collaboration, and enhance overall efficiency and effectiveness of large-scale projects.