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Deborah S. Katz
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2020 – today
- 2022
- [i2]Deborah S. Katz, Christopher Steven Timperley, Claire Le Goues:
Using Dynamic Binary Instrumentation to Detect Failures in Robotics Software. CoRR abs/2201.12464 (2022) - 2021
- [c6]Afsoon Afzal, Deborah S. Katz, Claire Le Goues, Christopher Steven Timperley:
Simulation for Robotics Test Automation: Developer Perspectives. ICST 2021: 263-274 - 2020
- [c5]Deborah S. Katz, Milda Zizyte, Casidhe Hutchison, David Guttendorf, Patrick E. Lanigan, Eric M. Sample, Philip Koopman, Michael Wagner, Claire Le Goues:
Robustness Inside Out Testing. DSN (Supplements) 2020: 1-4 - [c4]Deborah S. Katz, Casidhe Hutchison, Milda Zizyte, Claire Le Goues:
Detecting Execution Anomalies As an Oracle for Autonomy Software Robustness. ICRA 2020: 9366-9373 - [i1]Afsoon Afzal, Deborah S. Katz, Claire Le Goues, Christopher Steven Timperley:
A Study on the Challenges of Using Robotics Simulators for Testing. CoRR abs/2004.07368 (2020)
2010 – 2019
- 2018
- [c3]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: 331-342 - [c2]Deborah S. Katz, Jason Ruchti, Eric M. Schulte:
Using recurrent neural networks for decompilation. SANER 2018: 346-356 - 2017
- [c1]Deborah S. Katz:
Understanding intended behavior using models of low-level signals. ISSTA 2017: 424-427
Coauthor Index
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