@misc{Zaniewski_Krzysztof_Techniki_2011,
 author={Zaniewski, Krzysztof},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Książka = Book},
 howpublished={online},
 year={2011},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={pol},
 abstract={Unique Input Output sequences (UIOs), generated from a formal specification, are used in conformance testing. Finding UIOs of minimal length is an NP-Hard problem. This study provides an approach to generate multiple UIOs automatically. The Particle Swarm Optimization (PSO) algorithm is used to optimize a multi-objective fitness function. The first objective concerns the uniqueness of the sequence while the second one captures its length. We discuss a way of encoding particles used in the PSO so that a combinatorial nature of the testing problem can be described. A set of tests comprises a number of finite state machines of different topology. The experimental evaluation shows that the proposed method outperforms the random search. We also report on the relationships between the topology of the finite state machine and the effectiveness of the PSO-generated tests. This paper shows optimization progress over time and examines how the proposed approach is affected by the topology and size of the finite state machine.},
 type={Text},
 title={Techniki informacyjne teoria i zastosowania * Wybrane problemy * Automatyczne generowanie sekwencji wejścia-wyjścia (UIO) za pomocą algorytmu PSO do testów automatu skończonego},
 URL={http://www.rcin.org.pl/Content/205918/PDF/KS-2011-08-T13P13.pdf},
}