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...

書誌詳細
主要な著者:	Chockler, H, Kesseli, P, Kroenig, D, Strichman, O
フォーマット:	Journal article
言語:	English
出版事項:	AI Access Foundation 2020

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