Abstract. We describe a tool that applies theorem proving technology to synthesize code fragments that use given library functions. To determine candidate code fragments, our appro...
Abstract. We present a novel counterexample generator for the interactive theorem prover Isabelle based on a compiler that synthesizes test data generators for functional programmi...
A methodology is described for synthesizing signal processing networks, which are used to solve a low-cost medical signal processing problem. The approach makes use of genetic alg...
- We propose a hardware performance estimation flow for fast design space exploration, based on worst-case execution time analysis algorithms for software analysis. Test cases on s...
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...