Enhancing Behavior Driven Development (BDD) with AI

As part of this presentation, we will explore the intersection of Artificial Intelligence (AI) and Behavior-Driven Development (BDD). As software development practices evolve, AI is increasingly playing a role in automating processes, enhancing test coverage, and improving collaboration between stakeholders.

In this session, we'll delve into how AI can augment the BDD process, from generating Gherkin scenarios to automating test execution and providing insights for continuous improvement. We will review how AI-powered tools can help teams write better specifications, identify edge cases, and even predict potential software failures before they happen.

This presentation will provide valuable insights on how AI can boost efficiency, accuracy, and collaboration in your development lifecycle.

What to Expect:

• Overview of BDD principles and its value for collaborative software development.
• AI-enhanced tools for automating BDD processes, such as generating tests and ensuring quality.
• Real-world case studies of AI-driven improvements in BDD practices.
• Interactive discussions and demos on how AI can streamline testing, improve communication between teams, and deliver better software faster.

Who Should Attend:

• Developers and QA engineers using or interested in BDD.
• AI enthusiasts and practitioners looking to apply AI to software development.
• Product owners, business analysts, and stakeholders aiming to improve collaboration and test-driven quality assurance.