Definition
Bounded domain constraint solving refers to constraint solving in which the variables involved each have a finite, bounded domain of possible values. This is a common setting within Constraint Satisfaction Problem (CSP) frameworks, where the finiteness of domains allows solvers to apply techniques such as domain propagation, constraint propagation, and systematic search.
Characteristics
- Finite domains: Each variable's domain is a finite set of values (e.g., integers within a bounded range).
- Propagation-based reasoning: Solvers can prune domain values using constraint propagation techniques.
- Compatibility with symbolic execution: Bounded domain solvers are well suited to symbolic animation of specifications and test case generation.
Applications
Bounded domain constraint solving is applied in areas such as:
- Automated test case generation: Constraint solvers over bounded domains are used to generate valid argument values for method calls from formal specifications.
- Symbolic animation of specifications: Finite-domain constraints enable the exploration of specification states.
- Flexible CSP architectures: Modern solvers extend beyond integer or bounded domains to handle arbitrary types through type builders that bridge type semantics and the CSP framework (e.g., a string builder for generating string instances from constraint combinations).
Relation to Constraint Satisfaction Problems
Bounded domain constraint solving is a specialization within the broader field of Constraint Satisfaction Problems. While CSPs can in principle involve infinite or continuous domains, bounded domain constraint solving specifically targets the finite-domain case, making it tractable for systematic solving methods and enabling practical applications in software testing and verification.