Randomized neural networks are immortalized in this well-known AI Koan: In the days when Sussman was a novice, Minsky once came to him as he sat hacking at the PDP-6. "What a...
We present an approach for describing tests using nondeterministic test generation programs. To write such programs, we introduce UDITA, a Java-based language with non-determinist...
Milos Gligoric, Tihomir Gvero, Vilas Jagannath, Sa...
Genetic algorithms (GAs) have been applied previously to UML-driven, stress test requirements generation with the aim of increasing chances of discovering faults relating to networ...
We present CESE, a tool that combines exhaustive enumeration of test inputs from a structured domain with symbolic execution driven test generation. We target programs whose valid...
We present novel algorithms for parallel testing of code that takes structurally complex test inputs. The algorithms build on the Korat algorithm for constraint-based generation o...
Sasa Misailovic, Aleksandar Milicevic, Nemanja Pet...