Conference archive


Wednesday, June 8, 2016 - 1:30pm to 2:30pm

Predictive Test Planning to Improve System Quality

Penny McVay shares how her team approached improving the quality of a large policy-writing application for a global insurance carrier. The application has many pieces and parts, thousands of lines of code are changed monthly, and the business depends on a stable application. To mitigate risk, the team investigated the question of how to predict where testing needed to focus. The regression test suite the organization had built was difficult to maintain, identified few defects, and took hours of effort to run. QA needed not only to optimize the regression suite but also to determine how to mitigate the most risk. To accomplish this, the team collected historical data to predict significant impact areas including what is being written in production, what transactions are being exercised in production, and what defects are occurring in today’s production environment. From this information, the QA team rewrote the regression suite to eliminate waste and provide more value to the business customers.

Penny McVay
Liberty Mutual

Penny McVay manages a large, global-wide quality assurance team for the commercial insurance technology division of Liberty Mutual. Penny began her career in the insurance industry and has experience in business functional areas and IT. From a COBOL programmer to a developer to earning her PMP certification, Penny’s experiences have shaped her approach to managing QA as a true partner in collaborating on large IT projects for the past fourteen years. Penny resides in Hamilton, Ohio, and when she’s not knee-deep into quality assurance practices, Penny enjoys spending time with her family and camping.