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BRICS Report Series
A generating extension of a program specializes the program with respect to part of the input. Applying a partial evaluator to the program trivially yields a generating extension, but specializing the partial evaluator with respect to the program often yields a more efficient one. This specialization can be carried out by the partial evaluator itself; in this case, the process is known as the second Futamura projection. We derive an ML implementation of the second Futamura projection fordoi:10.7146/brics.v7i44.20211 fatcat:mktkfflbubb57ddqozs2ggcdiq