paper

Fix Your Types

arXiv:1509.06079 · doi:10.4204/EPTCS.192.2

Abstract

When using existing ACL2 datatype frameworks, many theorems require type hypotheses. These hypotheses slow down the theorem prover, are tedious to write, and are easy to forget. We describe a principled approach to types that provides strong type safety and execution efficiency while avoiding type hypotheses, and we present a library that automates this approach. Using this approach, types help you catch programming errors and then get out of the way of theorem proving.

In Proceedings ACL2 2015, arXiv:1509.05526

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