RoboCon 2025 - Appium Self-healing for RobotFramework AppiumLibrary

This lecture examines Appium's self-healing capabilities for addressing flaky locators in mobile applications, using a historical allegory of Osiris and Isis to illustrate the concept. It contrasts a traditional algorithmic approach with an advanced AI-driven method utilizing large language models for context-aware updates. A video demo showcases the self-healing process, and future enhancements include computer vision integration and natural language-based locator generation. The session concludes with a Q&A discussing implementation challenges and the role of AI in improving self-healing functionality.
Chapters

00:49 Introduction to Appium Self-Healing
06:18 Self-Healing Algorithm Overview
07:36 AI Integration with Appium
10:38 Future Strategies for Locator Generation
12:37 Acknowledgments and Future Plans
13:43 Audience Questions and Discussions
20:46 Closing Remarks

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Видео RoboCon 2025 - Appium Self-healing for RobotFramework AppiumLibrary канала Robot Framework