Abstract

Model checking is emerging as a popular technology for reasoning about behavior properties of a wide variety of software artifacts including: requirements models, architectural descriptions, designs, implementations, and process models. The complexity of model checking is well-known, yet costeffective analyses have been achieved by exploiting, for example, naturally occurring abstractions and semantic properties of a target software artifact. Adapting a model checking tool to exploit this kind of domain knowledge often requires in-depth knowledge of the tool’s implementation. We believe that with appropriate tool support, domain experts will be able to develop efficient model checking-based analyses for a variety of software-related models. To explore this hypothesis, we have developed Bogor, a model checking framework with an extensible input language for defining domain-specific constructs and a modular interface design to ease the optimization of domain-specific state-space encodings, reductions and search algorithms. We present the pattern-oriented design of Bogor and discuss our experiences adapting it to efficiently model check Java programs and event-driven component-based designs.

Citations