Computer Science – Artificial Intelligence
Scientific paper
2010-07-19
Theory and Practice of Logic Programming, 10(4-6):741-758, 2010
Computer Science
Artificial Intelligence
18 pages
Scientific paper
10.1017/S1471068410000396
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.
Brummayer Robert
Järvisalo Matti
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