Renee Bryce
About
Renee Bryce earned her Ph.D. in Computer Science from Arizona State University in May 2006. She earned her B.S. (1999) and M.S. (2000) degrees from Rensselaer Polytechnic Institute. Her research areas interests include Software Engineering, with emphasis on software testing and usability testing and Computer Science Education, with emphasis on software testing education. She has served as Primary Investigator on funding from the National Science Foundation, National Institute of Standards and Technology, U.S. Forest Service, Lawrence Livermore National Lab, and more. Over the past decade, she has been PI on 19 grants and Co-I on 6 grants. Her total research funding has been $3.7 million on shared and individual projects with her share of expenditures as $2 million. Dr. Bryce is a member of the U.S. National Institute of Standards and Technology (NIST) Automated Combinatorial Testing for Software (ACTS) group. Professor Bryce received the UNT Distinguished Teaching Professorship honor in 2021. She is the recipient of the 2018 Tech Titans Award for the University Level that came with a $25,000 prize to help further her outreach work. She is the recipient of the 2015 NCWIT Undergraduate Research Mentor Award for the category of Junior Faculty (Assistant/Associate Professor) at a Research University. She is also a recipient of the 2006 Arizona State Commission on the Status of Women award for her "achievements and contributions towards advancing the status of women". One of her students received the “Best M.S. Thesis” in the Department of Computer Science at Utah State University and one received the “Best Honors Thesis” at Utah State University (one award for the entire university). She received two Best Paper awards (2020 and 2021) for research with her doctoral students.
Research Performance Summary
First Recorded Paper
A problem in the theory of normal Fitting classes
Year: 1975
Citations: 103
Venue: Mathematische Zeitschrift 141 (2)
Latest Recorded Paper
Adaptive Event Processing in API Gateways: A Reinforcement Learning Approach for Optimizing Latency
Year: 2026
Citations: 0
Venue: ICT for Intelligent Systems: Proceedings of ICTIS 2025, Volume 2 2
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.