The rise of programmable open distributed consensus platforms based on the blockchain
technology has aroused a lot of interest in replicated stateful computations, aka smart …

We introduce Gillian, a platform for developing symbolic analysis tools for programming
languages. Here, we focus on the symbolic execution engine at the heart of Gillian, which is …

Big-step abstract interpreters are an approach to build static analyzers based on big-step
interpretation. While big-step interpretation provides a number of benefits for the definition of …

Abstract interpretation is a theory of abstraction and constructive approximation of the
mathematical structures used in the formal description of complex or infinite systems and the …

In this functional pearl, we examine the use of definitional interpreters as a basis for abstract
interpretation of higher-order programming languages. As it turns out, definitional …

Building effective symbolic execution engines poses challenges in multiple dimensions: an
engine must correctly model the program semantics, provide flexibility in symbolic execution …

Abstract interpretation is a methodology for defining sound static analysis. Yet, building
sound static analyses for modern programming languages is difficult, because these static …

It is well known that a staged interpreter is a compiler: specializing an interpreter to a given
program produces an equivalent executable that runs faster. This connection is known as …

Abstract interpretation is a technique for developing static analyses. Yet, proving abstract
interpreters sound is challenging for interesting analyses, because of the high proof …

The design and implementation of static analyzers has become increasingly systematic. Yet
for a given language or analysis feature, it often requires tedious and error prone work to …