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Combining unit-level symbolic execution and system-level concrete execution for testing NASA software.

, , , , , , and . ISSTA, page 15-26. ACM, (2008)

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Property Inference for Deep Neural Networks., , , and . ASE, page 797-809. IEEE, (2019)Learning Techniques for Software Verification and Validation., and . ISoLA (1), volume 7609 of Lecture Notes in Computer Science, page 505-507. Springer, (2012)Automated Circular Assume-Guarantee Reasoning with N-way Decomposition and Alphabet Refinement., , , and . CAV (1), volume 9779 of Lecture Notes in Computer Science, page 329-351. Springer, (2016)Finding Feasible Counter-examples when Model Checking Abstracted Java Programs., , and . TACAS, volume 2031 of Lecture Notes in Computer Science, page 284-298. Springer, (2001)Verification of Java Programs Using Symbolic Execution and Invariant Generation., and . SPIN, volume 2989 of Lecture Notes in Computer Science, page 164-181. Springer, (2004)SECOM: Towards a convention for security commit messages., , , and . MSR, page 764-765. ACM, (2022)Exact and approximate probabilistic symbolic execution for nondeterministic programs., , , , and . ASE, page 575-586. ACM, (2014)Badger: Complexity Analysis with Fuzzing and Symbolic Execution., , and . SE/SWM, volume P-292 of LNI, page 65-66. GI, (2019)Symbolic Execution and Software Testing.. Engineering Dependable Software Systems, volume 34 of NATO Science for Peace and Security Series, D: Information and Communication Security, IOS Press, (2013)Rule-Based Testing of Neural Networks., , , and . SE4SafeML@SIGSOFT FSE, page 1-5. ACM, (2023)