Engineering teams frequently identify verification and validation gaps late in the development process — often during testing, audits, or certification reviews — when addressing them becomes both costly and disruptive. These challenges often stem from earlier stages, where unclear or inconsistent requirements hinder the creation of effective validation scenarios and disrupt the ability to maintain robust traceability between requirements and tests. 

 

In this webinar Katie Huckett, Product Line Manager, Jama Connect Advisor/AI explores a practical workflow for improving requirements clarity and transforming well-structured requirements into meaningful test coverage using AI-assisted analysis and generation techniques. 

 

Key Takeaways: 

• How to leverage AI for effective and meaningful Test Case Generation  

• Why validation failures often originate in poorly structured or ambiguous requirements  

• Practical techniques for improving requirements clarity and consistency  

• How AI-assisted analysis helps refine requirements before downstream work begins  

• How relationship discovery exposes hidden traceability gaps between requirements and tests