Deep-SRAT

Deep-SRAT (Software Reliability Assessment Tool) is a tool designed to predict the number of failures over time using a deep learning-based model. This application leverages advanced machine learning techniques to provide accurate failure predictions.

Key Features

• Predicts failure counts over time using a deep learning-based model.
• User-friendly interface with interactive visualization of predictions.
• Designed exclusively for macOS systems.

System Requirements

• Operating System: macOS (10.15 or higher recommended)
• Processor: Intel or Apple Silicon
• Memory: 4GB RAM or higher

Installation Instructions

1. Navigate to the Releases page of this repository.
2. Download the .zip file corresponding to the latest version of the application.
3. Extract the .zip file to a location of your choice.
4. Locate the .app file in the extracted folder.
5. Double-click the .app file to launch the application.

Usage

1. Open the application by double-clicking the .app file.
2. Import your dataset in CSV format.
3. Set up the required parameters and run predictions.
4. Export the results as needed.

Limitations

• This tool is currently designed to run only on macOS systems.
• Compatibility with other operating systems is not supported at this time.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

If you have any questions, feel free to contact us at [email protected].