In practice, few security bugs found in source code are urgent, but quickly identifying which ones are is hard.We describe the application of bounded model checking to triaging reported issues quickly at the cloud service provider Amazon Web Services (AWS).We focus on the job of reactive security experts who need to determine the severity of bugs found in the Xen hypervisor.We show that, using our publicly available extensions to the model checker CBMC, a security expert can obtain traces to construct security tests and estimate the severity of the reported finding within 15 minutes.We believe that the changes made to the model checker, as well as the methodology for using tools in this scenario, will generalise to other organisations and environments.

Abstract The design of efficient solutions for abstract argumentation problems is a crucial step towards advanced argumentation systems. One of the most prominent approaches in the literature is to use Answer-Set Programming (ASP) for this endeavor. In this paper, we present new encodings for three prominent argumentation semantics using the concept of conditional literals in disjunctions as provided by the ASP-system clingo. Our new encodings are not only more succinct than previous versions, but also outperform them on standard benchmarks.