Explore how AI is transforming software quality from a developer’s lens—shifting focus from traditional testing to engineering confidence at scale.

This keynote dives into the evolving role of code ownership, intelligent automation, and the future of dev–QA collaboration

Observability isn’t just for production anymore. The same tools and techniques that can help us understand what’s really happening in production with our users and production infrastructure are an invaluable tool to help us better understand our tests and test environments. Test Observability gives your team increased visibility into how much behavioral coverage you actually have, why your tests are really failing, and how to get them green again. With observability practices in place, your team will find issues your tests might otherwise miss. Without them, you may find yourself constantly rerunning flaky tests in your local environment and wondering why they keep failing in CI/CD.

• What Is Test Observability and How to Get Started
• Implementing Proper Logging for Your Tests
• Integrating Your Test Logs with Your Test Environment Logs
• Monitoring Your Tests and Test Environments
• Alerting When Your Tests Find Issues
• Leveraging AI to Understand Why Your Tests Are Really Failing
• Implementing Reporting and Analytics for Tests

Automatic deployments: How Postman and Jenkins allow continuous delivery while maintaining code quality

When tasked with building an internal service bus from scratch, we needed a way to test as we built. Matt will show you why we selected Postman as our primary test framework for rapidly prototyping our APIs. Then we’ll cover how we used Postman to create and organize over 600 functional tests, integrating them into our CI/CD pipelines in Jenkins.

This allows us to deploy new code to production without any human intervention. We rely strictly on the strength of our tests to prevent regression. When the tests pass, the code ships. Our APIs can grow without sacrificing code quality.

• An easy way to immediately test back end services, then iterate on them as your application matures
• Handling environmental differences in one set of API tests by parameterizing variables
• Integrating functional tests in CI/CD pipelines using Jenkins
• Test reporting using TestRail
• Tradeoffs between strict functionality vs. fragility in back end tests

Artificial Intelligence/Machine Learning Software Development Engineer in Test. What a title! But what does that person even do? Are they using AI/ML to test software? Are they testing AI or ML? This isn’t just a title change for a software tester, this is really a mind shift and tool change. What if you don’t even have a UI in which to test your product? What if you don’t ship a UI or even a product? The world of software is changing with advancements in AI/ML and it is time to make sure we level up our testing abilities to match the revolution. Join Kevin as he walks you through his journey in applying AI and ML to testing, and testing to AI and ML. The takeaways will help you be a better tester and prepare you for a future role testing those hallucinating bots.

• Defining the new role of AI/ML SDET
• Skills needed in the new world of testing AI systems
• Mindsets need to change testing AI vs. traditional systems

Effective test automation is essential for maintaining software quality and speed. This session will explore the differences between useful and wasteful tests across various types, including unit, integration, and functional testing. We’ll discuss strategies for achieving optimal test coverage and balancing test execution speed with stability.

Learn best practices for developing a robust test automation strategy, measuring test effectiveness, and maintaining your test suite. We’ll provide real-world examples to illustrate these concepts and highlight common pitfalls to avoid.

Join us for practical insights and strategies to optimize your test automation practices and ensure your software quality remains high.

Understanding Test Types:

• Learn the differences between unit, integration, and functional tests, and how to effectively utilize each type.
  Optimal Test Coverage:
• Discover strategies to achieve balanced and comprehensive test coverage that ensures software quality.
  Test Automation Strategy:
• Gain insights into developing a robust test automation strategy tailored to your project’s needs.
  Measuring Test Effectiveness:
• Learn how to measure the effectiveness of your automated tests through key metrics and indicators.
  Balancing Speed and Stability:
• Understand how to balance the speed of test execution with the stability and reliability of your test suite.
  Test Maintenance:
• Explore best practices for maintaining and refactoring your test suite to keep it efficient and relevant.
  Avoiding Common Pitfalls:
• Identify common pitfalls in test automation and learn strategies to avoid them.
  Real-World Examples:
• Benefit from real-world examples that illustrate successful test automation practices and lessons learned.
  Emerging Trends:
• Get introduced to emerging trends in test automation, including the use of AI and machine learning to enhance testing efficiency.
  Actionable Insights:
• Leave with practical insights and strategies that you can immediately apply to optimize your test automation efforts.

Enterprise Resource Planning (ERP) systems are the backbone of modern businesses, yet test automation for ERP web applications remains a challenge due to complexity, high resource demands, and the need for specialized skills. Low-code automation tools provide a game-changing approach by leveraging a common execution framework (XFS) that reduces test execution load and enables non-technical users to actively contribute to automation efforts.

In this session, we’ll explore how organizations can accelerate test automation adoption, enhance scalability, and improve efficiency by utilizing low-code solutions for ERP testing. We will discuss real-world use cases, implementation strategies, and best practices for achieving faster test cycles, broader test coverage, and reduced dependency on technical resources.

• Why ERP automation is challenging – Understanding the complexities of automating ERP web apps.
• The power of low-code automation – How non-technical users can build and execute automation without extensive coding knowledge.
• Optimizing performance with a common XFS – How a unified execution framework (XFS) reduces system load and enhances scalability.
• Real-world implementation strategies – Best practices for successfully integrating low-code tools into ERP automation workflows.
• Business impact & ROI – How reducing technical barriers can improve test efficiency, accelerate release cycles, and lower costs.

Revolutionizing QA Automation: Harnessing Kubernetes and Cloud for Cost-Efficiency and Scalability” is a highly relevant yet underexplored topic in the QA and DevOps space. While cloud and Kubernetes have transformed application deployment and infrastructure management, their potential in QA automation remains largely untapped. This presentation will shed light on how leveraging these technologies can optimize test execution, reduce costs, and enhance scalability—something many teams struggle with today. Given the increasing demand for cost-effective and resilient automation frameworks, this topic will provide fresh insights and practical strategies that are not widely discussed in the industry.

Great software starts with quality, not bug fixes.
With 17+ years in IT, I lead QA teams to prevent issues early—specializing in mobile, web, API, and Salesforce testing.
Certified, AI-savvy, and remote-ready, I help teams ship faster, cheaper, and better.
Let’s build smarter QA together.

Experienced Software Engineering Manager with a demonstrated history of working in the higher education industry. Skilled in building applications with relational Database, Java, and Spring in an AWS cloud environment. Strong engineering professional with a Master of Business Administration (M.B.A.) focused in Information Technology Management from Western Governors University.

Experienced IT leader with multi-decade expertise in cybersecurity, digital strategy, GRC, and IT operations. Proven success in global team leadership, Agile/DevOps transformation, and quality assurance across healthcare, banking, insurance, manufacturing, and government sectors. Expert in driving innovation, efficiency, and continuous improvement through ITIL, CMMI, and Lean Six Sigma.