Abstractly represent software error traces as finite automata.
Home Page: https://martinchapman.github.io/learning-errors/
Abstractly represent software error traces as finite automata.
Cite as Learning the language of error. Chapman, Martin and Chockler, Hana and Kesseli, Pascal and Kroening, Daniel and Strichman, Ofer and Tautschnig, Michael. International Symposium on Automated Technology for Verification and Analysis. 2015.
A demo website is provided in docs/index.html. It includes animated automata generation demonstration, all benchmark source codes and a benchmark result summary.
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