In performance testing and monitoring, it's crucial to understand how different parts of your application are performing under various conditions. Monitoring transactions around key sections of code, such as API calls and critical functions, helps identify performance bottlenecks and areas for optimization. LoadRunner provides powerful tools for performance testing, including functions like `lr_start_transaction` and `lr_end_transaction` that enable you to measure the execution time of specific code blocks. However, adding these functions manually can be a time-consuming and error-prone process. To streamline this task, I've developed a script that automatically inserts transaction monitoring statements around key function calls in a C file. This script simplifies the process and helps you achieve more efficient and consistent performance testing results. Let's explore how this script works.
Ce sujet de discussion accompagne la publication sur https://easyloadrunner.blogspot.com/2024/04/python-script-for-dynamically.html