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...
Autors principals: | Chockler, H, Kesseli, P, Kroenig, D, Strichman, O |
---|---|
Format: | Journal article |
Idioma: | English |
Publicat: |
AI Access Foundation
2020
|
Ítems similars
-
Error Explanation with Distance Metrics
per: Groce, A, et al.
Publicat: (2006) -
Toward a Richer Language for Describing Software Errors
per: Levitin, Samuel M.
Publicat: (2008) -
Spoken Language Understanding Software for Language Learning
per: Hassan Alam, et al.
Publicat: (2008-04-01) -
A framework for Satisfiability Modulo Theories.
per: Kroening, D, et al.
Publicat: (2009) -
Efficient Computation of Recurrence Diameters
per: Kroening, D, et al.
Publicat: (2003)