Affiliation:
1. Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100080, China
Abstract
Many testing methods are based on program paths. A well-known problem with them is that some paths are infeasible. To decide the feasibility of paths, we may solve a set of constraints. In this paper, we describe constraint-based tools that can be used for this purpose. They accept constraints expressed in a natural form, which may involve variables of different types such as integers, Booleans, reals and fixed-size arrays. The constraint solver is an extension of a Boolean satisfiability checker and it makes use of a linear programming package. The solving algorithm is described, and examples are given to illustrate the use of the tools. For many paths in the testing literature, their feasibility can be decided in a reasonable amount of time.
Publisher
World Scientific Pub Co Pte Lt
Subject
Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Software
Cited by
41 articles.
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