The Partially Observable Markov Decision Process has long been recognized as a rich framework for real-world planning and control problems, especially in robotics. However exact s...
Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
This paper describes a method for optimizing the cost matrix of any approximate string matching algorithm based on the Levenshtein distance. The method, which uses genetic algorit...
This paper presents results from a comparative evaluation of five combination strategies. Combination strategies are test case selection methods that combine "interesting&quo...
Regression testing is applied to modified software to provide confidence that the changed parts behave as intended and that the unchanged parts have not been adversely affected ...
Mary Jean Harrold, James A. Jones, Tongyu Li, Dong...
We have devised a novel technique to automatically generate test cases for a software system, combining black-box model-based testing with white-box parameterized unit testing. Th...
Nicolas Kicillof, Wolfgang Grieskamp, Nikolai Till...