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Electronic Proceedings in Theoretical Computer Science
Article . 2024 . Peer-reviewed
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Preprint . 2024
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Inversion by Partial Evaluation: A Reversible Interpreter Experiment

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 30 Nov 2024Embargo end date: 01 Jan 2024 English Publisher:Open Publishing AssociationJournal:Electronic Proceedings in Theoretical Computer Science, volume 413, pages 1-14 (eissn: 2075-2180, Copyright policy )
Authors: Glück, Robert; Normann, Louis Marott;

doi: 10.4204/eptcs.413.1 , 10.48550/arxiv.2412.03122

arXiv: 2412.03122

Inversion by Partial Evaluation: A Reversible Interpreter Experiment

Abstract

A computational limit of combining partial evaluation and program inversion is investigated. Using a reversible Turing machine interpreter, we show that the first Futamura and inversion projections can produce not only functionally but also textually equivalent programs. The construction of the interpreter in a reversible flowchart language is shown in full. Insights are provided on the practical interplay between reversible interpreters, program inverters, and partial evaluators. We conclude that both projections must be included in the program transformation toolbox.

In Proceedings PT 2024, arXiv:2412.01856. Dedicated to Peter Thiemann on the Occasion of his 60th Birthday

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Keywords

FOS: Computer and information sciences, Computer Science - Programming Languages, D.3.4, Formal Languages and Automata Theory (cs.FL), D.3.4; F.1.1; F.3.2, F.3.2, Computer Science - Formal Languages and Automata Theory, F.1.1, Programming Languages (cs.PL)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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