The introduction of ChatGPT, CoPilot X brings in a lot of hype over developer experiences, especially documentation. But are we ready to chat with our documentation, instead of reading, using these tools? How can we, as maintainers, leverage these tools to offer a better experience in documentation for developers as our users? Join my talk and let's find out.

Target Audience: Engineers, Developers
Prerequisites: Programming
Level: Advanced

Discover the transformative power of GenAI in software testing. This lecture showcases a powerful GenAI-powered test framework that enhances testing efficiency. Learn how GenAI analyzes applications to generate automated test cases, uncover hidden defects with generative AI's random exploratory tests. Experience AI-powered peer reviewers for code analysis and quality evaluations. Explore Smart Report AI, providing comprehensive analysis and insights into test execution, results, and defects. Join us to revolutionize your software testing with GenAI.

Target Audience: Quality Engineers, Architects, Developers, Project Leader, Managers
Prerequisites: Basic knowledge on modern software development
Level: Advanced

Extended Abstract:
In the rapidly evolving landscape of software development Generative AI holds immense potential to revolutionize the field of software testing. This lecture aims to explore the transformative capabilities of GenAI in software testing by showcasing the powerful GenAI powered test framework and its key components.
The lecture begins by introducing the main framework, which combines the power of GenAI and automation to enhance the efficiency and effectiveness of software testing. Attendees will learn how GenAI can analyze the application under test and generate automated test cases based on a predefined test framework. These test cases can be executed locally or seamlessly integrated into DevOps processes, allowing for efficient and comprehensive testing of applications.
Furthermore, the lecture delves into the utilization of generative AI for the generation of random exploratory tests. By leveraging the capabilities of GenAI, testers can uncover hidden defects and vulnerabilities that may go unnoticed with traditional testing approaches. This demonstration highlights the innovative potential of GenAI in driving comprehensive test coverage.
Additionally, the lecture showcases the Smart Peer AI component of the framework. Attendees will discover how AI-powered peer reviewers can anticipate functional and non-functional issues, providing insightful code analysis and quality evaluations. By incorporating specific coding best practices, architectural standards, and non-standard attributes, Smart Peer AI enhances code quality and accelerates the development process.
Finally, the lecture concludes by presenting the Smart Report AI, an AI-powered solution that analyzes test reports generated from automated testing processes. This component provides a comprehensive analysis of test execution, environment configuration, test results, defect severity automated analysis, reproducibility steps, and suggestions for fixes. Smart Report AI empowers testers with valuable insights and facilitates effective decision-making in the testing and development lifecycle.