Difference between revisions of "GP (Graph Programs)"

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'''GP''' (for Graph Programs) is a rule-based, nondeterministic programming language for solving graph problems at a high level of abstraction, freeing programmers from handling low-level data structures. The core of GP consists of four constructs: single-step application of a set of conditional graph-transformation rules, sequential composition, branching and iteration. The language has a formal structural operational semantics, as well as a prototype implementation.
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'''GP''' (for Graph Programs) is a rule-based, nondeterministic programming language for solving graph problems at a high level of abstraction, freeing programmers from handling low-level data structures. The core of GP consists of four constructs: single-step application of a set of conditional graph-transformation rules, sequential composition, branching and iteration. The language has a structural operational semantics, as well as a prototype implementation.
  
 
[[Members#sandra|Sandra Steinert]], [[Members#gm|Greg Manning]], and [[Members#det|Detlef Plump]] worked on the design and implementation of GP; [[Members#cposkitt|Chris Poskitt]] and [[Members#det|Detlef Plump]] are currently investigating the formal verification of Graph Programs.
 
[[Members#sandra|Sandra Steinert]], [[Members#gm|Greg Manning]], and [[Members#det|Detlef Plump]] worked on the design and implementation of GP; [[Members#cposkitt|Chris Poskitt]] and [[Members#det|Detlef Plump]] are currently investigating the formal verification of Graph Programs.

Revision as of 03:58, 23 December 2009

GP (for Graph Programs) is a rule-based, nondeterministic programming language for solving graph problems at a high level of abstraction, freeing programmers from handling low-level data structures. The core of GP consists of four constructs: single-step application of a set of conditional graph-transformation rules, sequential composition, branching and iteration. The language has a structural operational semantics, as well as a prototype implementation.

Sandra Steinert, Greg Manning, and Detlef Plump worked on the design and implementation of GP; Chris Poskitt and Detlef Plump are currently investigating the formal verification of Graph Programs.

GP Literature

Overviews

  • Detlef Plump. The Graph Programming Language GP (.pdf). In Proc. Algebraic Informatics, Third International Conference (CAI 2009), volume 5725 of Lecture Notes in Computer Science, pages 99-122. Springer-Verlag, 2009.

Semantics

  • Detlef Plump and Sandra Steinert. The Semantics of Graph Programs (.pdf). In Proc. Rule-Based Programming (RULE 2009), Electronic Proceedings in Theoretical Computer Science, 2009. To appear.

Prototype Implementation

  • Greg Manning and Detlef Plump. The GP Programming System (.pdf). In Proc. Graph Transformation and Visual Modelling Techniques (GT-VMT 2008), volume 10 of Electronic Communications of the EASST, 2008.
  • Greg Manning and Detlef Plump. The York Abstract Machine (.pdf). In Proc. Graph Transformation and Visual Modelling Techniques (GT-VMT 2006), volume 211 of Electronic Notes in Theoretical Computer Science, pages 231-240. Elsevier, 2008.