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Preprint . 2022
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Science of Computer Programming
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Article . 2022
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Reversing an imperative concurrent programming language

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Nov 2022Embargo end date: 01 Jan 2022 English Publisher:Elsevier BVJournal:Science of Computer Programming, volume 223, page 102,873 (issn: 0167-6423, Copyright policy )
Authors: James Hoey; Irek Ulidowski;

doi: 10.1016/j.scico.2022.102873 , 10.48550/arxiv.2205.01171

arXiv: 2205.01171

Reversing an imperative concurrent programming language

Abstract

We introduce a method of reversing the execution of imperative concurrent programs. Given an irreversible program, we describe the process of producing two versions. The first performs forward execution and saves information necessary for reversal. The second uses this saved information to simulate reversal. We propose using identifiers to overcome challenges of reversing concurrent programs. We prove this reversibility to be correct, showing that the initial program state is restored and that all saved information is used (garbage-free).

48 pages, 21 figures

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Keywords

FOS: Computer and information sciences, Computer Science - Programming Languages, Programming Languages (cs.PL)

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    popularity
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    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
8
Top 10%
Average
Top 10%
Green