Leveraging Grammar-Based Mutation for Automatic Software Testing

This paper introduces a novel approach to automatic software testing by using grammar-based mutation. It enhances traditional mutation testing by generating valid and diverse test inputs based on the grammar of the input language. This improves test coverage and fault detection compared to random or manually created tests, offering a more efficient and effective method for finding bugs in software.