If you are software engineer or a quality engineer, you might have heard a lot about digital accessibility and accessibility testing. But there are no straightforward ways/learning materials available in the market to assist us on implementation.

Do you want to know how as a Software Engineer/Quality Engineer, one can ensure accessibility is maintained throughout the development process?
I will share my experience that how I have automated the accessibility checks using Cypress framework and incorporated them into my regression suite.

During the discussion, I will also provide you with live coding session to address all your queries with accessibility testing in real time. Why wait, Developers, Quality Engineers, and designers let's start building a more inclusive digital world.

Ever since the invent of AIs, development of applications is in rapid pace. As a developer or as a quality engineer, now it became really essential to provide and ensure consistent and visually appealing user experience.

We often use conventional manual testing methods to test the visual changes. Even though it is reliable, it is time consuming and prone to human errors.

This presentation will explore how AI powered visual testing can empower the software development/quality engineering with efficient and human centric approach.

We will deep dive into the core principles of visual regression testing,

1.Image comparison algorithms: Understanding how AI algorithms can detect visual discrepancies even the subtle ones.
2.Machine learning models: Exploring how AI models can learn and adapt to the visual characteristics of different applications improving accuracy and reducing false positive.
3.Human-in-the-loop approach: Discussing how important the human oversight in AI-driven testing which ensures that the technology complements human expertise rather than replacing it.

By joining this talk, we will also get to know how one can leverage AI to improve their software development process and deliver exceptional user experience.

Key takeaways for audience:
1. Improved efficiency: How AI can significantly reduce testing time and effort.
2. Enhanced quality: How AI can help identify/ address visual defects early in the development process.
3. Faster time to market: How AI can accelerate the development and release process by automating visual testing and reducing the risk of visual regressions.