LLM-Based Test Case Generation with Mutation Testing

This project uses a Large Language Model (LLM) called Gemini to automatically generate test cases for Python code. It also uses a technique called mutation testing to check how good the tests are.

We also use a method called MuTAP to improve the tests and compare everything with tests made by a tool called Pynguin.

What This Project Does

• Automatically creates test cases using Gemini (zero-shot and few-shot prompts).
• Uses mutation testing to measure test quality.
• Improves tests with MuTAP, which helps fix weak tests.
• Compares results with the Pynguin test generation tool.

Group Members

• Riddhi Mistry – ID: 202201238
• Hardi Naik – ID: 202201477