Verification of graph programs
GP (for Graph Programs) is an experimental nondeterministic programming language which allows for the manipulation of graphs at a high level of abstraction. The program states of GP are directed labelled graphs. These are manipulated directly via the application of (conditional) rule schemata, which...
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sg-smu-ink.sis_research-59202020-02-13T06:59:23Z Verification of graph programs POSKITT, Christopher M. GP (for Graph Programs) is an experimental nondeterministic programming language which allows for the manipulation of graphs at a high level of abstraction. The program states of GP are directed labelled graphs. These are manipulated directly via the application of (conditional) rule schemata, which generalise double-pushout rules with expressions over labels and relabelling. In contrast with graph grammars, the application of these rule schemata is directed by a number of simple control constructs including sequential composition, conditionals, and as-long-as-possible iteration. GP shields programmers at all times from low-level implementation issues (e.g. graph representation), and with its nondeterministic semantics, allows one to solve graph-like problems in a declarative and natural way. 2012-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4917 info:doi/10.1007/978-3-642-33654-6_30 https://ink.library.smu.edu.sg/context/sis_research/article/5920/viewcontent/Poskitt.ICGT_DS.2012.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 transformations Theory and Algorithms |
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GP (for Graph Programs) is an experimental nondeterministic programming language which allows for the manipulation of graphs at a high level of abstraction. The program states of GP are directed labelled graphs. These are manipulated directly via the application of (conditional) rule schemata, which generalise double-pushout rules with expressions over labels and relabelling. In contrast with graph grammars, the application of these rule schemata is directed by a number of simple control constructs including sequential composition, conditionals, and as-long-as-possible iteration. GP shields programmers at all times from low-level implementation issues (e.g. graph representation), and with its nondeterministic semantics, allows one to solve graph-like problems in a declarative and natural way. |
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POSKITT, Christopher M. |
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POSKITT, Christopher M. |
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POSKITT, Christopher M. |
title |
Verification of graph programs |
title_short |
Verification of graph programs |
title_full |
Verification of graph programs |
title_fullStr |
Verification of graph programs |
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Verification of graph programs |
title_sort |
verification 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/4917 https://ink.library.smu.edu.sg/context/sis_research/article/5920/viewcontent/Poskitt.ICGT_DS.2012.pdf |
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