No abstract

Abstract-During acceptance testing customers assess whether a system meets their expectations and often identify issues that should be improved. These findings have to be communicated to the developers -a task we observed to be error prone, especially in distributed teams. Here, it is normally not possible to have developer representatives from every site attend the test. Developers who were not present might misunderstand insufficiently documented findings. This hinders fixing the issues and endangers customer satisfaction. Integrated feedback systems promise to mitigate this problem. They allow to easily capture findings and their context. Correctly applied, this technique could improve feedback, while reducing customer effort. This paper collects our experiences from comparing acceptance testing with and without feedback systems in a distributed project. Our results indicate that this technique can improve acceptance testing -if certain requirements are met. We identify key requirements feedback systems should meet to support acceptance testing.

No abstract

A lot of current buildings are operated energy inefficient and offer a great potential to reduce the overall energy consumption and CO2 emission. Detecting these inefficiencies is a complicated task and needs domain experts that are able to identify them. Most approaches try to support detection by focussing on monitoring the building's operation and visualizing data. Instead our approach focuses on using techniques taken from the cyber-physical systems' modeling domain. We create a model of the building and show how we constrain the model by OCL-like rules to support a sound specification which can be matched against monitoring results afterwards. The paper presents our domain-specific language for modeling buildings and technical facilities that is implemented in a software-based tool used by domain experts and thus hopefully providing a suitable contribution to modeling the cyber-physical world.