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The Correctness of a Code Generator for a Functional Language

Courant, Nathanaël; Séré, Antoine; Shankar, Natarajan

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Courant, Nathanaël</dc:creator>
  <dc:creator>Séré, Antoine</dc:creator>
  <dc:creator>Shankar, Natarajan</dc:creator>
  <dc:description>Code generation is gaining popularity as a technique to bridge the gap between high-level models and executable code. We describe the theory underlying the PVS2C code generator that translates functional programs written using the PVS specification language to standalone, efficiently executable C code. We outline a correctness argument for the code generator. The techniques used are quite generic and can be applied to transform programs written in functional languages into imperative code. We use a formal model of reference counting to capture memory management and safe destructive updates for a simple first-order functional language with arrays. We exhibit a bisimulation between the functional execution and the imperative execution. This bisimulation shows that the generated imperative program returns the same result as the functional program.</dc:description>
  <dc:source>Lecture Notes in Computer Science 68-89</dc:source>
  <dc:title>The Correctness of a Code Generator for a Functional Language</dc:title>
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