Testing and Debugging Techniques for Answer Set Solver Development
Brummayer, Robert, Järvisalo, Matti
–arXiv.org Artificial Intelligence
This paper develops automated testing and debugging techniques for answer set solver development. We describe a flexible grammar-based black-box ASP fuzz testing tool which is able to reveal various defects such as unsound and incomplete behavior, i.e. invalid answer sets and inability to find existing solutions, in state-of-the-art answer set solver implementations. Moreover, we develop delta debugging techniques for shrinking failure-inducing inputs on which solvers exhibit defective behavior. In particular, we develop a delta debugging algorithm in the context of answer set solving, and evaluate two different elimination strategies for the algorithm.
arXiv.org Artificial Intelligence
Jul-19-2010
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