Risk-based testing models are founded on prioritization of functional tests based on their likelihood of failure, the importance of the functionality and the weighted impact to the business if a failure were to occur. While the merit of this model is proven, it overlooks two vital factors – the structural quality of the system under test and the degree to which complex system objects and transactions have been changed in the development cycle. Join Bill, Jeff and your peers to look look at these two aspects in more detail including the impact they both have on test effectiveness and production stability. Learn how to identify the root-cause of severe defects that result in system failures and understand the importance of quantifying transaction and object risk in addition to risk-based testing. Don’t miss the opportunity to learn how to optimize your test efficiency while expanding your coverage by leveraging software intelligence.