v1.4.2

[lerdmann1601]

HERA

HERA is a MATLAB based scientific ranking framework for paired benchmarking. It provides a hierarchical-compensatory logic, advanced effect-size statistics, and automated reporting capabilities.

For more information please refer to the Readme and Project Documentation.

What's New in v1.4.2?

This minor update includes robustness fixes and configuration enhancements.

⚙️ Enhancements

• Configuration Management: Enhanced reproducibility display and refactored configuration handling to ensure a consistent state.
• Legacy Config Support: Added migration logic for specific fields from old nested configuration structures.
• Others: Localized some error messages and added input sanitization for all possible inputs (e.g. json config) not only for CLI inputs.

🐛 Bug Fixes

• Infinite Loop Prevention: Fixed a potential infinite loop when providing an invalid path for the output directory.

Recent Major Features (from v1.4.0)

✨ Convergence Analysis Enhancements:

• New Scenario: Added a "Sensitivity" scenario with small effect sizes.
• JSON Configuration: All scenarios are fully customizable through a JSON configuration file

(For a full list of features, see the v1.4.0 Release Notes)

🖥️ Platform Support

• MATLAB Toolbox & Python Package: Windows, macOS (Intel & Apple Silicon), Linux
• Standalone Runtime Application: macOS (Apple Silicon ONLY)

📦 Compatibility

• MATLAB: Compatible with R2020a and newer.
• Python: Compatible with Python 3.9 through 3.12 and Matlab Runtime R2025b (25.2).

---

Full Changelog: v1.4.1...v1.4.2

---

This discussion was created from the release v1.4.2.