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...
| Hoofdauteurs: | , , , |
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| Formaat: | Journal article |
| Taal: | English |
| Gepubliceerd in: |
AI Access Foundation
2020
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