Performance testing ensures that software applications are able to handle expected loads and perform at their best under various conditions. Despite their effectiveness, traditional performance testing methods often involve significant manual effort and cannot keep up with the complexity of modern software systems. AI offers promising solutions for these challenges, making performance testing more efficient, accurate, and adaptive.

You will get a basic understanding on how AI can be applied in Performance testing or engineering

Talk will be based on how we can make use of LLMs to enhance classical software mutation testing to find code vulnerabilities

• Enhanced mutation testing to target code bugs
• Optimizations to make mutation testing work with LLMs

How product usage analytics can be used to create knowledge graph and solve customer churning issue?

• Insights of product usage is very crucial
• Take these feedbacks into account while drafting testing strategy

AI is transforming the software quality engineering industry by automating routine tasks and enabling smarter testing approaches. Its integration into software development has profoundly reshaped the field of Quality Engineering (QE). This presentation explores the evolving role of QE in the AI era, addressing the challenges, opportunities, and strategies for achieving excellence in AI-driven environments. By examining the intersection of AI and QE, it provides valuable insights into best practices for maintaining high-quality software and equips QE professionals with the knowledge to excel in an AI-dominated landscape.

Following are the Key Take Aways from the talk:

• Understanding of Evolution of QE with AI Integration
• Challenges in Adopting AI in QE
• Opportunities Presented by AI in QE
• Future Trends in AI and QE
• Continuous Learning and Adaptation

This tech talk will explore the critical role of automated testing in modern DevOps and Agile environments. As software development cycles become increasingly rapid, the integration of automated testing is essential to maintain high-quality standards while accelerating delivery timelines. The session will cover the principles of test automation, the benefits of integrating automated testing into CI/CD pipelines, and the challenges and best practices for achieving seamless integration. Attendees will gain insights into the latest tools and frameworks that facilitate automated testing and how to align testing strategies with Agile methodologies to ensure continuous improvement and faster feedback loops.

• Understanding the Role of Automated Testing: Learn why automated testing is a cornerstone of DevOps and Agile practices and how it enhances software quality and reliability.
• Integration with CI/CD Pipelines: Discover how to effectively integrate automated testing into Continuous Integration and Continuous Deployment (CI/CD) pipelines, ensuring faster and more reliable releases.
• Best Practices for Implementation: Gain insights into the best practices for implementing automated testing within Agile teams, including strategies for test automation coverage, test maintenance, and balancing manual and automated tests.
• Tools and Frameworks: Explore the latest tools and frameworks that support automated testing in DevOps, and understand how to choose the right ones based on project needs and team capabilities.
• Overcoming Common Challenges: Identify common challenges faced during the integration of automated testing and learn practical solutions to overcome them, ensuring a smooth transition and continuous improvement.
• Enhancing Collaboration Between Teams: Understand how automated testing fosters better collaboration between development, operations, and testing teams, leading to more efficient workflows and faster delivery of high-quality software.
• This talk is ideal for software developers, QA engineers, DevOps practitioners, and Agile team members who are looking to enhance their testing strategies and streamline their development processes through automation.