Analysis
Fliggy is leveraging AI to transform its UI automation, promising significant improvements in quality and efficiency. By focusing on a robust evaluation system, they aim to avoid common pitfalls in AI implementation. This approach ensures that their AI-driven solutions are both effective and scalable for the future.
Key Takeaways
- •Fliggy aims to reduce maintenance by 70%, halve missed tests, and eliminate infinite loops in its UI automation.
- •They are prioritizing a strong evaluation system from the start to measure the effectiveness of AI-driven improvements.
- •The project focuses on addressing challenges specific to UI automation, such as high maintenance costs and multi-platform compatibility issues.
Reference / Citation
View Original"We plan to use AI technology, combined with and optimizing the existing automated testing system: reduce the rate of case corruption to reduce labor costs, improve assertion accuracy to enhance problem discovery capabilities, thereby ensuring quality while improving efficiency."