Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: When addressing the formal validation of generated software, two main alternatives consist either to prove the correctness of compilers or to directly validate the generated code. Here,  focus on directly proving the correctness of compiled code issued from porful pattern matching constructions typical of ML like languages or rewrite based languages such as ELAN, Maude or Tom. In this context, our first contribution is to define a general framework for anchoring algebraic pattern-matching capabilities in existing languages like C, Java or ML. Then, using a just enough porful intermediate language,  formalize the behavior of compiled code and define the correctness of compiled code with respect to pattern-matching behavior. This allows us to prove the equivalence of compiled code correctness with a generic first-order proposition whose proof could be achieved via a proof assistant or an automated theorem prover.  then extend these results to the multi-match situation characteristic of the ML like languages. The whole approach has been implemented on top of the Tom compiler and used to validate the syntactic matching code of the Tom compiler itself.
['Claude Kirchner', 'Pierre-Etienne Moreau', 'Antoine Reilles']
I am writing a research paper on a idea Formal validation of pattern matching code
[{"from": "human", "value": "I am writing a research paper on a idea Formal validation of pattern matching code"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: When addressing the formal validation of generated software, two main alternatives consist either to prove the correctness of compilers or to directly validate the generated code. Here,  focus on directly proving the correctness of compiled code issued from porful pattern matching constructions typical of ML like languages or rewrite based languages such as ELAN, Maude or Tom. In this context, our first contribution is to define a general framework for anchoring algebraic pattern-matching capabilities in existing languages like C, Java or ML. Then, using a just enough porful intermediate language,  formalize the behavior of compiled code and define the correctness of compiled code with respect to pattern-matching behavior. This allows us to prove the equivalence of compiled code correctness with a generic first-order proposition whose proof could be achieved via a proof assistant or an automated theorem prover.  then extend these results to the multi-match situation characteristic of the ML like languages. The whole approach has been implemented on top of the Tom compiler and used to validate the syntactic matching code of the Tom compiler itself."}]