Learning the language of software errors

Learning the language of software errors

We propose to use algorithms for learning deterministic finite automata (DFA), such as Angluin’s L ∗ algorithm, for learning a DFA that describes the possible scenarios under which a given program error occurs. The alphabet of this automaton is given by the user (for instance, a subset of the functi...

书目详细资料
Main Authors:	Chockler, H, Kesseli, P, Kroenig, D, Strichman, O
格式:	Journal article
语言:	English
出版:	AI Access Foundation 2020

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