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Difference between revisions of "EPP/Framework for Visual Analytics of user tracking information"

< EPP
(New page: == Abstract == Nowadays Eclipse is well known as a powerful and exceeding customizable platform for both Integrated Development Environments and Rich Client Applications. Due to its modula...)
 
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== Abstract ==
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==Abstract==
 
Nowadays Eclipse is well known as a powerful and exceeding customizable platform for both Integrated Development Environments and Rich Client Applications. Due to its modular Plug-in Architecture there are almost no limits on individual purpose. However, high adaptive and mutable software raises new questions about its usability and usage behavior.
 
Nowadays Eclipse is well known as a powerful and exceeding customizable platform for both Integrated Development Environments and Rich Client Applications. Due to its modular Plug-in Architecture there are almost no limits on individual purpose. However, high adaptive and mutable software raises new questions about its usability and usage behavior.
  

Revision as of 09:53, 25 June 2008

Abstract

Nowadays Eclipse is well known as a powerful and exceeding customizable platform for both Integrated Development Environments and Rich Client Applications. Due to its modular Plug-in Architecture there are almost no limits on individual purpose. However, high adaptive and mutable software raises new questions about its usability and usage behavior.

An investigation of user interactions could help to find potential signs of weakness in design or misuse as well. Possible application areas are improvements of usability in RCP-based individual software, statistical evaluation of usage frequentness of certain Features and Plug-ins.

The framework will be build using the mechanism of the Usage Data Collector from the Eclipse Packaging Project as a data source. The framework will be able to display data collected by the Eclipse Data Collector in RCP-based applications and in RAP-based Ajax applications.

The principal idea is to build a framework for visual analysis of clicks and the execution of actions within RCP-based applications. The Plug-in will be operated interactively and present the statistical data via an overlay (cp. Google Analytics Site Overlay).