GrGen

GrGen.NET is a software development tool that offers programming languages (domain specific languages) that are optimized for the processing of graph structured data. The core of the languages consists of modular graph rewrite rules, which are built on declarative graph pattern matching and rewriting; they are supplemented by many of the constructs that are used in imperative and object-oriented programming, and are completed with language devices known from database query languages.

GrGen.NET
ParadigmMulti-paradigm: declarative, imperative, object-oriented
DeveloperSebastian Hack, Rubino Geiss, Moritz Kroll, Edgar Jakumeit, and others
First appeared2003 (2003)
Stable release
GrGen.NET 4.5 / April 9, 2017 (2017-04-09)
Typing disciplineStatic, partly dynamic, strong, safe, nominative
OSCross-platform (multi-platform)
LicenseGNU Lesser General Public License
Websitegrgen.net
Debugging of a sequence generating a Koch-snowflake (the rules on the left, GrShell with highlighted current rule below, yComp with highlighted match in the host graph on the right)
Execution of the replace step

The Graph Rewrite GENerator compiles the languages into efficient CLI assemblies (via C#-Code in an intermediate step), which can be integrated via an API into code written in any .NET-language. GrGen can be executed under Windows and Linux (Mono needed) and is open source available under LGPL v3.

For rapid prototyping and debugging, an interactive shell and a (VCG-)graph viewer are included in the package. With its languages and its visual and stepwise debugging, GrGen allows one to develop at the natural level of abstraction of graph-based representations, such as those employed in engineering, model transformation, computational linguistics, or compiler construction (as intermediate representation).

GrGen increases productivity for those kinds of tasks far beyond what can be achieved by programming in a traditional programming language; due to many implemented performance optimizations it still allows one to achieve high-performance solutions. Its authors claim that the system offers the highest combined speed of development and execution available for the algorithmic processing of graph-based representations (based on their performance regarding diverse tasks posed at different editions of the Transformation Tool Contest (/GraBaTs)).

Specification sample

Below is an example containing a graph model and rule specifications from the GrGen.NET-solution to the AntWorld-case posed at Grabats 08.

Graph model:

node class GridNode {
    food:int;
    pheromones:int;
}
node class GridCornerNode extends GridNode;
node class AntHill extends GridNode {
    foodCountdown:int = 10;
}
node class Ant {
    hasFood:boolean;
}

edge class GridEdge connect GridNode[1] -> GridNode[1];
edge class PathToHill extends GridEdge;
edge class AntPosition;

Rewrite Rules:

rule TakeFood(curAnt:Ant)
{
    curAnt -:AntPosition-> n:GridNode\AntHill;
    if { !curAnt.hasFood && n.food > 0; }
    modify {
        eval {
            curAnt.hasFood = true;
            n.food = n.food - 1;
        }
    }
}

rule SearchAlongPheromones(curAnt:Ant)
{
    curAnt -oldPos:AntPosition-> old:GridNode <-:PathToHill- new:GridNode;
    if { new.pheromones > 9; }
    modify {
        delete(oldPos);
        curAnt -:AntPosition-> new;
    }
}

test ReachedEndOfWorld(curAnt:Ant) : (GridNode)
{
    curAnt -:AntPosition-> n:GridNode\AntHill;
    negative { 
        n <-:PathToHill-;
    }
    return (n);
}
gollark: --magic pyimport eventbuseventbus.add_bridge_link(("discord", 814491524037083172), ("apionet", "#a"))
gollark: bee you.
gollark: --magic pyimport eventbuseventbus.add_bridge_link(("discord", 814491524037083172), ("apionet", "#a"))
gollark: I'm suspicious of the fact that it's working.
gollark: Graet, working... perfectly?

Conference papers

See also
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