Deborah S. Katz

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 8

Top Topics

Emergent Behavior

Recurrent Neural Networks

Piecewise Planar

Top Venues

Publications

Deborah S. Katz, Christopher Steven Timperley, Claire Le Goues
Using Dynamic Binary Instrumentation to Detect Failures in Robotics Software. CoRR (2022)
Afsoon Afzal, Deborah S. Katz, Claire Le Goues, Christopher Steven Timperley
Simulation for Robotics Test Automation: Developer Perspectives. ICST (2021)
Afsoon Afzal, Deborah S. Katz, Claire Le Goues, Christopher Steven Timperley
A Study on the Challenges of Using Robotics Simulators for Testing. CoRR (2020)
Deborah S. Katz, Casidhe Hutchison, Milda Zizyte, Claire Le Goues
Detecting Execution Anomalies As an Oracle for Autonomy Software Robustness. ICRA (2020)
Deborah S. Katz, Milda Zizyte, Casidhe Hutchison, David Guttendorf, Patrick E. Lanigan, Eric Sample, Philip Koopman, Michael D. Wagner, Claire Le Goues
Robustness Inside Out Testing. DSN (Supplements) (2020)
Deborah S. Katz, Jason Ruchti, Eric M. Schulte
Using recurrent neural networks for decompilation. SANER (2018)
Christopher Steven Timperley, Afsoon Afzal, Deborah S. Katz, Jam Marcos Hernandez, Claire Le Goues
Crashing Simulated Planes is Cheap: Can Simulation Detect Robotics Bugs Early? ICST (2018)
Deborah S. Katz
Understanding intended behavior using models of low-level signals. ISSTA (2017)