Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Bharat Garhewal"'
Publikováno v:
Tools and Algorithms for the Construction and Analysis of Systems ISBN: 9783030995232
We present $$L^{\#}$$ L # , a new and simple approach to active automata learning. Instead of focusing on equivalence of observations, like the $$L^{*}$$ L ∗ algorithm and its descendants, $$L^{\#}$$ L # takes a different perspective: it tries to e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23917bfd5dcd0a04967b662f5edff76e
https://doi.org/10.1007/978-3-030-99524-9_12
https://doi.org/10.1007/978-3-030-99524-9_12
Autor:
Toon Lenaerts, Falk Howar, Timo Schrijvers, Frits W. Vaandrager, Bharat Garhewal, R. A. M. M. Smits
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030634605
IFM
IFM
Model learning (a.k.a. active automata learning) is a highly effective technique for obtaining black-box finite state models of software components. We show how one can boost the performance of model learning techniques for register automata by extra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fb1757e04f1c8caef1eae68ef78439b
https://doi.org/10.1007/978-3-030-63461-2_2
https://doi.org/10.1007/978-3-030-63461-2_2