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Imperative Functional Programs that Explain their Work

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Duration: 0:17:44 | Added: 18 Dec 2017
Jan Stolarek, University of Edinburgh, UK, gives the third presentation in the fourth panel, Effects, in the ICFP 2017 conference. Co-written by Wilmer Ricciotti, Roly Perera and James Cheney, and University of Edinburgh, UK.

Program slicing provides explanations that illustrate how program outputs were produced from inputs. We build on an approach introduced in prior work, where dynamic slicing was defined for pure higher-order functional programs as a Galois connection between lattices of partial inputs and partial outputs. We extend this approach to imperative functional programs that combine higher-order programming with references and exceptions. We present proofs of correctness and optimality of our approach and a proof-of-concept implementation and experimental evaluation.

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