2012Unpublished venueOpen access

Functional programs that explain their work

Roly Perera, Umut A. Acar, James Cheney, Paul Blain Levy

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Abstract

We present techniques that enable higher-order functional computations to "explain" their work by answering questions about how parts of their output were calculated. As explanations, we consider the traditional notion of program slices, which we show can be inadequate, and propose a new notion: trace slices. We present techniques for specifying flexible and rich slicing criteria based on partial expressions, parts of which have been replaced by holes.

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What this paper is about

We present techniques that enable higher-order functional computations to "explain" their work by answering questions about how parts of their output were calculated. As explanations, we consider the traditional notion of program slices, which we show can be inadequate, and propose a new notion: trace slices. We present techniques for specifying flexible and rich slicing criteria based on partial expressions, parts of which have been replaced by holes.

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OpenAlex reports 103 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We present techniques that enable higher-order functional computations to "explain" their work by answering questions about how parts of their output were calculated. As explanations, we consider the traditional notion of program slices, which we show can be inadequate, and propose a new notion: trace slices. We present techniques for specifying flexible and rich slicing criteria based on partial expressions, parts of which have been replaced by holes.

Key concepts: Slicing, TRACE (psycholinguistics), Program slicing, Computer science, Computation, Functional programming, Work (physics), Theoretical computer science

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