We all know user stories are typically too brief and do not say much about the behavior of the system when a user tried to “use” the user story. Even when we add some acceptance criteria, those normally focus on the happy path behavior.
In this webinar, we will show how you can use the Ai Assistant embedded into iALM.ai to breakdown a user story to a set of scenarios that covers normal, abnormal, extreme and unexpected behavior. Those scenarios will be used to design test cases for the user story.
is the founder and CEO of iALM Software, a software company that builds AI-perfected methodology-powered ALM software. He is also the founder and CEO of the International Institute for Software Testing, a leading professional development organization specialized in training and education-based certifications in software testing. Over the last 45 years, Dr. Hanna has worked in all aspects and capacities of software projects and processes. He has trained over 50,000 professionals around the world over the last 25 years. His passion and enthusiasm for testing, process improvement, and software engineering are contagious. Dr. Hanna is an author and public speaker. Has been featured on the cover of several professional publications. Dr. Hanna developed new approaches and methods in software engineering including the Scenario-Based Development and Testing (SBDT), Requirement-Based Project Management (RBPM), Software Quality Engineering Methodology (SQEngineer), the Unified Data Model (UDM), and the Data-Driven Object Model ( DOM ).