Difference between revisions of "Graph Approaches for Software Engineeering"
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== ⌘⌘ Step 3: Select the graph kernel algorithm to be used == | == ⌘⌘ Step 3: Select the graph kernel algorithm to be used == | ||
SimpleGraph is based on Apache Gremlin/Tinkerpop so all the algorithm and libraries around this graph environment are directly available. If a different graph kernel and or algorithm is needed than the graph can be translated / imported via standard graph import/export formats and or import/export adapters and utilities | SimpleGraph is based on Apache Gremlin/Tinkerpop so all the algorithm and libraries around this graph environment are directly available. If a different graph kernel and or algorithm is needed than the graph can be translated / imported via standard graph import/export formats and or import/export adapters and utilities | ||
| − | == ⌘⌘ Step 4: Load all the graphs and compute the graph kernel == | + | == ⌘⌘ Step 4: Load all the graphs and compute the graph kernel == |
| + | https://www.enterpriseintegrationpatterns.com/img/MessageBroker.gif | ||
Simplegraph is based on the Hub&Spoke approach. Any combination of modules/API can be applied. | Simplegraph is based on the Hub&Spoke approach. Any combination of modules/API can be applied. | ||
Currently there are some 20 different modules to choose from. | Currently there are some 20 different modules to choose from. | ||
Revision as of 14:58, 17 February 2019
<slideshow style="bitplan" headingmark="⌘⌘" incmark="…" scaled="true" font="Comic Sans MS, Calibri, cursive" >
- title
Graph Approaches for Software Engineering
- author
- Wolfgang Fahl Wolfgang Fahl info@bitplan.com
- footer
- Applying the OpenSource Project SimpleGraph and it's modules to Software Engineering
- subfooter
- sebis Oberseminar Technische Universität München
</slideshow>
⌘⌘ Wolfgang Fahl
| |
 Peugeot Ion |
 Giant Explore |
⌘⌘ Vorgeschichte
⌘⌘ Why I am here
⌘⌘ Graph Kernels for Model Driven Software Engineering
5 Steps
- Decide how the model should be encoded into a graph
- Translate each of the models into a labeled graph
- Select the graph kernel algorithm to be used
- Load all the graphs and compute the graph kernel
- Exploit the information in the kernel matrix
⌘⌘ Use SimpleGraph for the 5 Steps
⌘⌘ Step 1: Decide how the model should be encoded into a graph
Each SimpleGraph Module transforms data from some API to a Graph representation. The transformation is usually as "straight-forward" or "natural" as possible.
⌘⌘ Step 2: Translate each of the models into a labeled graph
Each SimpleGraph Module uses the following steps to translate from an API to the graph
- connect()
- moveTo()
⌘⌘ Step 3: Select the graph kernel algorithm to be used
SimpleGraph is based on Apache Gremlin/Tinkerpop so all the algorithm and libraries around this graph environment are directly available. If a different graph kernel and or algorithm is needed than the graph can be translated / imported via standard graph import/export formats and or import/export adapters and utilities
⌘⌘ Step 4: Load all the graphs and compute the graph kernel
Simplegraph is based on the Hub&Spoke approach. Any combination of modules/API can be applied.
Currently there are some 20 different modules to choose from.
⌘⌘ Step 5: Exploit the information in the kernel matrix
There are two modes for exploiting the information:
- OLAP
- OLTP
⌘⌘ What is Apache TinkerPop/Gremlin?
Apache Tinkerpop is an Open Source project.
- OLTP - Online Transaction Processing - Navigation and Processing
- OLAP - Online Analytical Processing - Queries
- - Example - Ancestors of King James
⌘⌘ Outlook: Dragtop
The Dragtop Open Source Software makes the SimpleGraph modules available for direct access from your Desktop. By simple drag and drop of the input onto the dragtop and then dropping a "tool" onto the dragtop you can combine the module functionality as you see fit.
⌘⌘ Questions/Discussion
