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You will be updated with latest job alerts via emailSoftware testing is a critical component of the development process ensuring the quality and reliability of applications. However creating comprehensive test suites is often timeconsuming laborintensive and prone to human error. As software systems grow in complexity there is an increasing need for more efficient and effective testing methods. AIpowered test suite generation presents a promising solution to streamline the testing process potentially improving both efficiency and coverage while reducing the burden on human testers.
The primary objective of this project is to develop an AI model capable of automatically generating effective test suites for software applications. The research will explore various AI approaches and evaluate their performance in creating highquality test cases. The project will involve the following key components:
Compile a diverse dataset of software specifications requirements and corresponding test suites.
Investigate and implement different AI techniques for test suite generation including but not limited to:
Train the selected AI models on the curated dataset experimenting with various hyperparameters and training strategies to optimize performance.
Develop a system that takes software specifications as input and generates comprehensive test suites using the trained AI model.
Assess the quality of the AIgenerated test suites.
Bachelor/Master of Science in Computer Science/Engineering
The purpose of this research is to advance the field of automated software testing by exploring the potential of AI in generating highquality test suites. This could potentially contribute to the broader discussion on the role of AI in software engineering and quality assurance.
Full Time