Code base moved to: https://github.com/Data-to-Insight-Center/ProvErr
A statistical fault diagnosis tool that leverages an application's dependency model to automatically infer an oending piece of software/system in event of failure
Features
- Automatic identification and modeling of all cause candidates and their dependencies, which has no runtime perturbation and no need to access the source code.
- A statistical "Probability Ranking" algorithm to select the most important cause candidates
- A "Cause Determination" algorithm to prune the redundant causes while preserver co-causes
License
Apache License V2.0Follow ProvErr
Other Useful Business Software
Build Securely on AWS with Proven Frameworks
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of ProvErr!