Precise Goal-Independent Abstract Interpretation of Constraint Logic Programs

AbstractWe present a goal-independent abstract interpretation framework for pure constraint logic programs, and prove the sufficiency of a set of conditions for abstract domains to ensure that the analysis will never lose precision. Along the way, we formally define pure constraint logic programming systems, give a formal semantics that is independent of the actual constraint domain, and formally define the maximally precise abstraction of a pure constraint logic program

Abstract Interpretation, Symbolic Execution and Constraints

Abstract interpretation is a static analysis framework for sound over-approximation of all possible runtime states of a program. Symbolic execution is a framework for reachability analysis which tries to explore all possible execution paths of a program. A shared feature between abstract interpretation and symbolic execution is that each - implicitly or explicitly - maintains constraints during execution, in the form of invariants or path conditions. We investigate the relations between the worlds of abstract interpretation, symbolic execution and constraint solving, to expose potential synergies