Verifying total correctness of graph programs
GP 2 is an experimental nondeterministic programming language based on graph transformation rules, allowing for visual programming and the solving of graph problems at a high-level of abstraction. In previous work we demonstrated how to verify graph programs using a Hoare-style proof calculus, but o...
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sg-smu-ink.sis_research-59192020-02-13T07:00:28Z Verifying total correctness of graph programs POSKITT, Christopher M. PLUMP, Detlef GP 2 is an experimental nondeterministic programming language based on graph transformation rules, allowing for visual programming and the solving of graph problems at a high-level of abstraction. In previous work we demonstrated how to verify graph programs using a Hoare-style proof calculus, but only partial correctness was considered. In this paper, we add new proof rules and termination functions, which allow for proofs to additionally guarantee that program executions always terminate (weak total correctness), or that programs always terminate and do so without failure (total correctness). We show that the new proof rules are sound with respect to the operational semantics of GP 2, complete for termination, and demonstrate their use on some example programs. 2012-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4916 info:doi/10.14279/tuj.eceasst.61.827 https://ink.library.smu.edu.sg/context/sis_research/article/5919/viewcontent/PoskittPlump.GCM_ECEASST.2013.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Graph theory Graph programs Hoare logic Termination Total correctness Verification Theory and Algorithms |
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Graph theory Graph programs Hoare logic Termination Total correctness Verification Theory and Algorithms POSKITT, Christopher M. PLUMP, Detlef Verifying total correctness of graph programs |
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GP 2 is an experimental nondeterministic programming language based on graph transformation rules, allowing for visual programming and the solving of graph problems at a high-level of abstraction. In previous work we demonstrated how to verify graph programs using a Hoare-style proof calculus, but only partial correctness was considered. In this paper, we add new proof rules and termination functions, which allow for proofs to additionally guarantee that program executions always terminate (weak total correctness), or that programs always terminate and do so without failure (total correctness). We show that the new proof rules are sound with respect to the operational semantics of GP 2, complete for termination, and demonstrate their use on some example programs. |
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POSKITT, Christopher M. PLUMP, Detlef |
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POSKITT, Christopher M. PLUMP, Detlef |
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POSKITT, Christopher M. |
title |
Verifying total correctness of graph programs |
title_short |
Verifying total correctness of graph programs |
title_full |
Verifying total correctness of graph programs |
title_fullStr |
Verifying total correctness of graph programs |
title_full_unstemmed |
Verifying total correctness of graph programs |
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verifying total correctness of graph programs |
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Institutional Knowledge at Singapore Management University |
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2012 |
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https://ink.library.smu.edu.sg/sis_research/4916 https://ink.library.smu.edu.sg/context/sis_research/article/5919/viewcontent/PoskittPlump.GCM_ECEASST.2013.pdf |
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