Difference between revisions of "Graph Approaches for Software Engineeering"

From BITPlan Wiki
Jump to navigation Jump to search
Line 90: Line 90:
 
# Exploit the information in the kernel matrix
 
# Exploit the information in the kernel matrix
  
 +
== ⌘⌘ Use SimpleGraph for the 5 Steps ==
 +
[[File:toskana2019planning.png|800px|center|link=http://www.bitplan.com/index.php/SimpleGraph#Module_Hub_and_Spoke]]
 +
 +
 +
== ⌘⌘ 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.
 +
need to install https://www.mediawiki.org/wiki/Extension:Math/de
 +
 +
<math>\begin{align}
 +
5! &=  5 \cdot  4! \\
 +
6! &=  6 \cdot  5! \\
 +
50! &= 50 \cdot 49!
 +
\end{align}</math>
 +
== ⌘⌘ Step 5: Exploit the information in the kernel matrix ==
 +
There are two modes for exploiting the information:
 +
# OLAP
 +
# OLTP
 
===⌘⌘ What is Apache TinkerPop/Gremlin? ===
 
===⌘⌘ What is Apache TinkerPop/Gremlin? ===
 
[[File:Gremlin programming language.png|400px]]
 
[[File:Gremlin programming language.png|400px]]
Line 96: Line 123:
 
* [https://en.wikipedia.org/wiki/Online_analytical_processing OLAP - Online Analytical Processing - Queries]
 
* [https://en.wikipedia.org/wiki/Online_analytical_processing OLAP - Online Analytical Processing - Queries]
 
* [https://www.wikidata.org/wiki/Q79972 - Example - Ancestors of King James]
 
* [https://www.wikidata.org/wiki/Q79972 - Example - Ancestors of King James]
 
==⌘⌘ Use SimpleGraph for the 5 Steps ==
 
[[File:toskana2019planning.png|800px|center|link=http://www.bitplan.com/index.php/SimpleGraph#Module_Hub_and_Spoke]]
 
  
 
== ⌘⌘ Outlook: Dragtop ==
 
== ⌘⌘ Outlook: Dragtop ==

Revision as of 11:24, 16 February 2019

<slideshow style="bitplan" headingmark="⌘⌘" incmark="…" scaled="true" font="Comic Sans MS, Calibri, cursive" >

title

Graph Approaches for Software EngineeringProfiwikiicon.png
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

Wfjuggling.png
Peugeot Ion
Peugeot Ion
Giant Explore
Giant Explore

⌘⌘ Vorgeschichte

Twitter2018-08-26.png

⌘⌘ Why I am here

⌘⌘ Graph Kernels for Model Driven Software Engineering

5 Steps

  1. Decide how the model should be encoded into a graph
  2. Translate each of the models into a labeled graph
  3. Select the graph kernel algorithm to be used
  4. Load all the graphs and compute the graph kernel
  5. Exploit the information in the kernel matrix

⌘⌘ Use SimpleGraph for the 5 Steps

Toskana2019planning.png


⌘⌘ 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

  1. connect()
  2. 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. need to install https://www.mediawiki.org/wiki/Extension:Math/de

[math]\begin{align} 5! &= 5 \cdot 4! \\ 6! &= 6 \cdot 5! \\ 50! &= 50 \cdot 49! \end{align}[/math]

⌘⌘ Step 5: Exploit the information in the kernel matrix

There are two modes for exploiting the information:

  1. OLAP
  2. OLTP

⌘⌘ What is Apache TinkerPop/Gremlin?

Gremlin programming language.png Apache Tinkerpop is an Open Source project.

⌘⌘ Outlook: Dragtop

DragTopExample1.png

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

Bitplanpartner.png