iObserve2: Integrated Observation and Modeling Techniques to Support Adaptation and Evolution of Software Systems

The joint project iObserve belongs to the Priority Program 1593 (Design For Future - Managed Software Evolution). There are developed new monitoring and modeling techniques for cloud software.


Lots of information are stored outside a local PC or server and the remote data centers running networked applications. Free Floating in the cloud - how safe are our personal data? That explore research experts at the University of Duisburg-Essen (UDE), the University of Kiel and the Karlsruhe Institute of Technology. Now the German Research Foundation (DFG) promotes their work with 287.000 Euros for further three years.

Since 2012 the joint project iObserve belongs to the Priority Program 1593 (Design For Future - Managed Software Evolution). There are developed new monitoring and modeling techniques for cloud software. In the networking of providers and the exchange of personal data, privacy must not be violated.

For example, the run at an online shopping platform is very high, the cloud allows to outsource data to other data centers. If these are outside the European Union, there aren’t allowed to pass personal data, because other laws apply. iObserve provides instruments to monitor such situations.

After previously running cloud services was analyzed, the second funding turns to adapting cloud services to avoid data breaches - architecture platforms and development environments are the focus now.

And this is important: "When we develop such long-lived systems, we can’t always rely on the original knowledge, for example, because the developers of the software are no longer there. “Also the conditions of use of the software change sometimes in unexpected ways, "explains Dr. Andreas Metzger of the Software Systems Engineering on paluno, The Ruhr Institute for Software Technology.

The DFG priority program 1593 is one of the largest in Europe, which deals specifically with techniques and methods of software engineering.

Funding

Funded by: German Research Foundation (DFG)

Type: DFG Project

Funding: approx. 238,000.- EUR (Total Funded Amount ca. 713,000.- EUR)

Duration: 04/2016 - 03/2019

Partners

  • Christian-Albrechts-Universität
  • Universität Duisburg-Essen
  • Karlsruhe Institute of Technology