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Mechanizing the meta-theory of programming languages
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Source International Conference on Functional Programming archive
Proceedings of the tenth ACM SIGPLAN international conference on Functional programming table of contents
Tallinn, Estonia
SESSION: Session 9 table of contents
Pages: 240 - 240  
Year of Publication: 2005
ISBN:1-59593-064-7
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Author
Robert Harper  Carnegie Mellon University, Pittsburgh, PA
Sponsors
ACM: Association for Computing Machinery
SIGPLAN: ACM Special Interest Group on Programming Languages
Publisher
ACM  New York, NY, USA
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ABSTRACT

What does it mean for a programming language to exist? Usually languages are defined by an informal description augmented by a reference compiler whose behavior is regarded as normative. This approach works well so long as the one true implementation suffices, but as soon as we wish to have multiple compilers for the same language, we must agree on what the language is independently of its implementations. Most often this is accomplished through social processes such as standardization committees for building consensus.These processes have served us well, and will continue to be important for language design. But they are not sufficient to support the level of rigor required to prove theorems about languages and programs written in them. For that we need a semantics, which provides an objective foundation for such analyses, typically in the form of a type system and an operational semantics. But merely having such a rigorous definition for a language is not enough — it must be validated by a body of meta-theory that establishes its coherence and its consistency with expectations.But how are we to develop and maintain this body of theory? For full-scale languages the task is so onerous as to inhibit innovation and foster stagnation. The way forward is to take advantage of the recent advances in mechanized reasoning. By representing a language definition within a logical framework we may subject it to formal analysis, much as we use types to express and enforce crucial invariants in our programs. I will describe our use of the Twelf implementation of the LF logical framework, and discuss our successes and difficulties in using it as a tool for mechanizing the meta-theory of programming languages.