AI-Enhanced Test Automation Framework: Empowering Software Engineering with Intelligent Testing Solution using Language Models

Abstract

Software development processes have rapidly improved, leading to increased software updates and releases. However traditional automated testing protocols are becoming insufficient due to their reliance on pre-established scripts, which require regular updates and maintenance. This manual maintenance is time-consuming and vulnerable to human error, causing downtime and limiting automation's effectiveness in testing. A automated AI driven testing framework have been proposed as a solution which will generate the tests when a new code change is detected. Also, the framework will maintain the tests by updating and fixing the tests when they fail due to code changes. Initial evaluation of the prototype was a success. Prototype was able to generate the test with high accuracy. And the model was able to detect multiple code changes and generate and update the tests as needed.