Trapezoidal Generalization over Linear Constraints
We are developing a model-based fuzzing framework that employs mathematical models of system behavior to guide the fuzzing process. Whereas traditional fuzzing frameworks generate tests randomly, a model-based framework can deduce tests from a behavioral model using a constraint solver. Because the...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Open Publishing Association
2018-10-01
|
| Series: | Electronic Proceedings in Theoretical Computer Science |
| Online Access: | http://arxiv.org/pdf/1810.04310v1 |