AbstractThis paper is concerned with constructing, for each expression in a given program text, a symbolic expression whose value is equal to the value of the text expression for all executions of the program. A cover is a mapping from text expressions to such symbolic expressions. Covers can be used for constant propagation, code motion, and a variety of other program optimizations. Covers can also be used as an aid in symbolic program execution and for finding loop invariants for program verification. We describe a direct (non-iterative) algorithm for computing a cover. The cover computed by our algorithm is characterized as a minimum of a certain fixed point equation, and is in general a better cover than might be computed by iteration m...
textThe last few years have seen a resurgence of interest in the use of symbolic execution--program ...
We present ABC, a software tool for automatically computing symbolic upper bounds on the number of i...
This paper proposes a novel optimization of bounded model checking (BMC) for better run-time efficie...
AbstractThis paper is concerned with constructing, for each expression in a given program text, a sy...
In recent years, the use of symbolic analysis in systems for testing and verifying programs has exp...
Abstract. Understanding symbolic expressions is an important capability of advanced program analysis...
This paper presents an efficient algorithm for solving the fixpoints that arise in complex program a...
We present ABC, a software tool for automatically computing symbolic upper bounds on the number of i...
In this paper we describe efficient symbolic evaluation techniques to compute the values of variable...
This paper presents an abstract interpretation framework for parallelizing compilers. Within this fr...
Symbolic analysis is an enabling technique that improves the effectiveness of compiler optimizations...
interpretation [16] is used to compute the ranges for variables at each point of a program unit. Tha...
Symbolic execution is a powerful, systematic program analysis approach that has received much visibi...
. This paper describes a general purpose program analysis that computes global control-flow and data...
. The concepts of value- and control-flow graphs are important for program analysis of imperative pr...
textThe last few years have seen a resurgence of interest in the use of symbolic execution--program ...
We present ABC, a software tool for automatically computing symbolic upper bounds on the number of i...
This paper proposes a novel optimization of bounded model checking (BMC) for better run-time efficie...
AbstractThis paper is concerned with constructing, for each expression in a given program text, a sy...
In recent years, the use of symbolic analysis in systems for testing and verifying programs has exp...
Abstract. Understanding symbolic expressions is an important capability of advanced program analysis...
This paper presents an efficient algorithm for solving the fixpoints that arise in complex program a...
We present ABC, a software tool for automatically computing symbolic upper bounds on the number of i...
In this paper we describe efficient symbolic evaluation techniques to compute the values of variable...
This paper presents an abstract interpretation framework for parallelizing compilers. Within this fr...
Symbolic analysis is an enabling technique that improves the effectiveness of compiler optimizations...
interpretation [16] is used to compute the ranges for variables at each point of a program unit. Tha...
Symbolic execution is a powerful, systematic program analysis approach that has received much visibi...
. This paper describes a general purpose program analysis that computes global control-flow and data...
. The concepts of value- and control-flow graphs are important for program analysis of imperative pr...
textThe last few years have seen a resurgence of interest in the use of symbolic execution--program ...
We present ABC, a software tool for automatically computing symbolic upper bounds on the number of i...
This paper proposes a novel optimization of bounded model checking (BMC) for better run-time efficie...