It is widely held that debugging cyber-physical systems (CPS) is challenging; many strongly
held beliefs exist regarding how CPS are currently debugged and tested and the suitability …

The emergence of OpenFlow-capable switches enables exciting new network functionality,
at the risk of programming errors that make communication less reliable. The centralized …

Software bugs are a well-known source of security vulnerabilities. One technique for finding
bugs, symbolic execution, considers all possible inputs to a program but suffers from …

Embedded systems increasingly use software-driven low-power microprocessors for
security-critical settings, surfacing a need for tools that can audit the security of the software …

In recent years, fuzz testing has benefited from increased computational power and
important algorithmic advances, leading to systems that have discovered many critical bugs …

In this paper, we present a novel formal agent-based simulation framework (FABS). FABS
uses formal specification as a means of clear description of wireless sensor networks …

KLEE is a popular dynamic symbolic execution engine, initially designed at Stanford
University and now primarily developed and maintained by the Software Reliability Group at …

Energy-autonomous computing devices have the potential to extend the reach of computing
to a scale beyond either wired or battery-powered systems. However, these devices pose a …

The Internet of Things (IoT) is increasingly more relevant. This growing importance calls for
tools able to provide users with correct, reliable and secure systems. In this paper, we claim …

We propose a symbolic execution method for programs that can draw random samples. In
contrast to existing work, our method can verify randomized programs with unknown inputs …