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EXIST: Exploitation/Exploration Inference for Statistical Software Testing

Nicolas Baskiotis 1, 2 Michèle Sebag 1, 2 Marie-Claude Gaudel 2 Sandrine-Dominique Gouraud 2 
1 TANC - Algorithmic number theory for cryptology
LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau], Inria Saclay - Ile de France
Abstract : Path-based Statistical Software Testing is interested in sampling the feasible paths in the control flow graph of the program being tested. As the ration of feasible paths becomes negligible for large programs, an ML approach is presented to iteratively estimate and exploit the distribution of feasible paths.
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Submitted on : Thursday, November 30, 2006 - 12:21:53 PM
Last modification on : Tuesday, October 25, 2022 - 4:19:41 PM
Long-term archiving on: : Tuesday, April 6, 2010 - 11:42:05 PM


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  • HAL Id : inria-00117172, version 1


Nicolas Baskiotis, Michèle Sebag, Marie-Claude Gaudel, Sandrine-Dominique Gouraud. EXIST: Exploitation/Exploration Inference for Statistical Software Testing. On-line Trading of Exploration and Exploitation, NIPS 2006 Workshop, Dec 2006, Whistler, BC, Canada. ⟨inria-00117172⟩



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