Abstract
The focus of this paper is to present the results of a set of experiments regarding the construction of an adaptive sequence by a genetic algorithm and other techniques in order to reach a goal state in a non-deterministic finite state machine.
Research partially supported by the Spanish MICINN project TESIS (TIN2009- 14312-C02-01), the UK EPSRC project Testing of Probabilistic and Stochastic Systems (EP/G032572/1), and the UCM-BSCH programme to fund research groups (GR58/08 - group number 910606).
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References
Alur, R., Courcoubetis, C., Yannakakis, M.: Distinguishing tests for nondeterministic and probabilistic machines. In: 27th ACM Symp. on Theory of Computing, STOC 1995, pp. 363–372. ACM Press, New York (1995)
Ammann, P., Offutt, J.: Introduction to Software Testing. Cambridge University Press, Cambridge (2008)
Gromov, M., Yevtushenko, N., Kolomeets, A.: On the synthesis of adaptive tests for nondeterministic finite state machines. Programming and Computer Software 34, 322–329 (2008)
Hierons, R.M.: Testing from a non-deterministic finite state machine using adaptive state counting. IEEE Transactions on Computers 53(10), 1330–1342 (2004)
Molinero, C., Núñez, M., Hierons, R.M.: Creating adaptive sequences with genetic algorithms to reach a certain state in a non-deterministic FSM. In: IEEE Symposium on Artificial Life, ALIFE 2011. IEEE Computer Society Press, Los Alamitos (to appear 2011)
Myers, G.J.: The Art of Software Testing, 2nd edn. John Wiley and Sons, Chichester (2004)
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Molinero, C., Núñez, M., Hierons, R.M. (2011). Experimental Comparison of Different Techniques to Generate Adaptive Sequences. In: Cabestany, J., Rojas, I., Joya, G. (eds) Advances in Computational Intelligence. IWANN 2011. Lecture Notes in Computer Science, vol 6692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21498-1_51
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DOI: https://doi.org/10.1007/978-3-642-21498-1_51
Publisher Name: Springer, Berlin, Heidelberg
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