January 1, 2020 Book section Open Access

Courant, Nathanaël; Séré, Antoine; Shankar, Natarajan

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    "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.", 
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    "title": "The Correctness of a Code Generator for a Functional Language", 
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      "pages": "68-89", 
      "title": "Lecture Notes in Computer Science"
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