A Flexible Framework for Expediting Bug Finding by Leveraging Past (Mis-)Behavior to Discover New Bugs
Author:
Affiliation:
1. IBM Research
2. University of North Carolina-Chapel Hill
3. Georgia Tech, United States of America
4. Stony Brook University, United States of America
5. University of North Carolina-Chapel Hill, United States of America
Funder
National Science Foundation
U.S. Department of Defense
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3427228.3427269
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1. Boosting fuzzer efficiency: an information theoretic perspective
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3. Augusto Born de Oliveira. 2015. Measuring and Predicting Computer Software Performance: Tools and Approaches. http://hdl.handle.net/10012/9259 Augusto Born de Oliveira. 2015. Measuring and Predicting Computer Software Performance: Tools and Approaches. http://hdl.handle.net/10012/9259
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