Predicting and speeding up performance testing for application programs with automation

Software was created as a result of the importance of measuring programmer performance. The amount of time and storage space required to implement a programmer largely determines its performance. This project used automation entrenched reliable rules to estimate the executive time. Our applied similar sophisticated criteria and software in this study to achieve the same automation results automatically and rapidly. Aside from time and storage space, the prepared software evaluates a program's performance using other criteria such as dependability, documentation, and others. All of these standards help to make sound performance judgments. This study concluded the performance testing of programmer samples written in Python as simple structures that provide a clear and easy starting point for testing programmer performance.

کلیدواژه ها:

Performance Testing ، Application Programs ، Automation