Abstract. Empirical optimizers like ATLAS have been very effective in optimizing computational kernels in libraries. The best choice of parameters such as tile size and degree of l...
Dynamically discovering likely program invariants from concrete test executions has emerged as a highly promising software engineering technique. Dynamic invariant inference has t...
Christoph Csallner, Nikolai Tillmann, Yannis Smara...
Programmers often want to transform the source or binary representations of their programs (e.g., to optimize, add dynamic safety checks, or add profile gathering code). Unfortun...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Service-oriented architectures (SOA) aim at the alignment of business and IT by having a clear business process-centric focus. In order to reach that goal, real-world business pro...
Philipp Liegl, Rainer Schuster, Marco Zapletal, Ch...