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IJCAI
2007
13 years 9 months ago
A Machine Learning Approach for Statistical Software Testing
Some Statistical Software Testing approaches rely on sampling the feasible paths in the control flow graph of the program; the difficulty comes from the tiny ratio of feasible p...
Nicolas Baskiotis, Michèle Sebag, Marie-Cla...
FATES
2004
Springer
13 years 11 months ago
Test Generation Based on Symbolic Specifications
Abstract. Classical state-oriented testing approaches are based on simple machine models such as Labelled Transition Systems (LTSs), in which data is represented by concrete values...
Lars Frantzen, Jan Tretmans, Tim A. C. Willemse
ISSTA
2004
ACM
14 years 1 months ago
Verifying process models built using parameterized state machines
Software process and workflow languages are increasingly used to define loosely-coupled systems of systems. These languages focus on coordination issues such as data flow and c...
Barbara Staudt Lerner
INFSOF
2006
103views more  INFSOF 2006»
13 years 7 months ago
Improving test quality using robust unique input/output circuit sequences (UIOCs)
In finite state machine (FSM) based testing, the problem of fault masking in the unique input/output (UIO) sequence may degrade the test performance of the UIO based methods. This...
Qiang Guo, Robert M. Hierons, Mark Harman, Karnig ...
ICML
1996
IEEE
13 years 11 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos