AI for Testers
Artificial Intelligence (AI) has taken the world by storm, increasing the productivity of workers in a wide range of industries, especially software. But, it’s also understandably led to uncertainty and fear about the personal and implications for disciplines such as software testing.
If you’re interested in cutting through the hype and understanding how AI affects the testing profession, then this course is for you. In this hands-on class, you will learn how to apply AI to the testing process. A variety of techniques and tools will be introduced to help testers as they plan, execute, automate, and report software testing activities.
Key takeaways from this class include:
- Understand how to leverage AI to support test planning and management
- Learn how to use AI capabilities to analyze requirements, identify risks, and create test requirements
- Understand how AI can support an effective exploratory testing process
- Learning how to leverage AI to create and improve automated tests
- Understand how AI can support test data management
- Take home information on how AI assists test results analysis and reporting
Who Should Attend
This course is ideal for those who wish to use AI to increase the productivity of their current software testing activities. This includes those in hands-on testing roles and test managers. A basic understanding of artificial intelligence including a high-level knowledge of machine learning and generative AI is necessary. If you're new to AI, consider taking our Fundamentals of AI—ICAgile Certification (ICP-FAI) first.
Laptop and RDP Required
This class involves hands-on activities using sample software to better facilitate learning. Each student should bring a laptop with a remote desktop protocol (RDP) client pre-installed. Connection specifics and credentials will be supplied during class. Please work with your IT Admin before class to verify that your RDP client can be used to access a virtual machine running in the Amazon Web Services (AWS) environment. If you or your Admin have questions about the specific applications involved, contact our Client Support team.
AI-Assisted Test Automation
AI-assisted automated testing capabilities
- Code completion
- Test case generation
- Debugging failed tests
- Refactoring and improving test scripts
- Transforming tests
- Documenting tests
Tools demonstration
Using AI to assist UI testing
Case Study: Create and run AI-assisted test scripts
AI for Test Analysis and Reporting
Automated test report generation
AI-based defect management
- Defect categorization
- Defect prioritization
- Defect assignment
Quality management
- Defect prediction
- Root cause analysis
- Generation of metrics
Optimizing automated test suites
Case Study: Using AI to manage defects
Class Retro and Wrap-up
Aha moments and discussions
Class evaluation survey
Sign-In/Registration 7:30 - 8:30 a.m.
Morning Session 8:30 a.m. - 12:00 p.m.
Lunch 12:00 - 1:00 p.m.
Afternoon Session 1:00 - 5:00 p.m.
Times represent the typical daily schedule. Please confirm your schedule at registration.
• Digital course materials
• Continental breakfasts and refreshment breaks
• Lunches
Tom Stiehm has been developing applications and managing software development teams for over twenty years. As CTO of Coveros, he is responsible for the oversight of all technical projects and integrating new technologies and testing practices into software development projects. Recently, Tom has been focusing on how to incorporate DevSecOps and agile best practices into projects and how to achieve a balance between team productivity and cost while mitigating project risks. One of the best risk mitigation techniques Tom has found is leveraging DevSecOps and agile testing practices into all aspects of projects. Previously, as a managing architect at Digital Focus, Thomas was involved in agile development and found that agile is the only methodology that makes the business reality of constant change central to the process.