Automatically Generating Relevant Inputs from Bug Reports for Improved Test Coverage

In this article, we present BRMINER, a tool that helps automate the process of generating test cases from bug reports. The tool analyzes bug reports and extracts relevant information to create test cases that can be used to identify and fix software bugs. This approach saves time and effort compared to manual testing, which can be labor-intensive and time-consuming.
The tool uses natural language processing (NLP) techniques to analyze bug reports and identify potential inputs for testing. These inputs are then fed into a software execution engine, which simulates the behavior of the software and identifies potential bugs. The tool also includes features to help users understand the results of the tests and prioritize their work.
The authors of the article conducted experiments using BRMINER on real-world bug reports and found that it could generate high-quality test cases that helped identify important bugs. They also compared the performance of BRMINER with manual testing and found that it was faster and more efficient.
In summary, BRMINER is a powerful tool that can help software developers automate the process of generating test cases from bug reports. By using NLP techniques to analyze bug reports, it can identify potential inputs for testing and generate high-quality test cases quickly and efficiently. This can save time and effort compared to manual testing, making it an attractive option for software development teams.