Renee Bryce

Bio

Professor Renee Bryce's main interests include process improvement strategies to increase tech employee productivity at different phases of software development lifecycles. Most of her research falls under software testing, including combinatorial testing, test suite prioritization, test suite reduction, and usability testing. More recently, she has focused on creating a data set of “context data” for one-month periods from test subjects and developed algorithmic approaches to use this data to help predict meaningful context data sequences for software testing purposes, i.e., examples of context data include changes to network connection, battery level, screen orientation, and more as defined in the mobile environment. In addition, she focuses on CS Education and Cyber Security Education projects that (a) engage students and teachers from underrepresented groups in effort to increase their participation in computing and (b) help professionals to improve their knowledge and productivity in industry. Dr. Bryce is a member of the U.S. National Institute of Standards and Technology (NIST) Automated Combinatorial Testing for Software (ACTS) group and is a past board member of IEEE Computer where she served as an Associate Editor.