Ciraci, S.Sözer, HasanTekinerdogan, B.2016-02-152016-02-152013978-146736280-1http://hdl.handle.net/10679/2183https://doi.org/10.1109/SE4SG.2013.6596105Due to copyright restrictions, the access to the full text of this article is only available via subscription.Smart grid applications are implemented and tested with simulation frameworks as the developers usually do not have access to large sensor networks to be used as a test bed. The developers are forced to map the implementation onto these frameworks which results in a deviation between the architecture and the code. On its turn this deviation makes it hard to verify behavioral constraints that are described at the architectural level. We have developed the ConArch toolset to support the automated verification of architecture-level behavioral constraints. A key feature of ConArch is programmable mapping for architecture to the implementation. Here, developers implement queries to identify the points in the target program that correspond to architectural interactions. ConArch generates runtime observers that monitor the flow of execution between these points and verifies whether this flow conforms to the behavioral constraints. We illustrate how the programmable mappings can be exploited for verifying behavioral constraints of a smart grid application that is implemented with two simulation frameworks.engrestrictedAccessconferenceObject1800032794490000110.1109/SE4SG.2013.6596105Power system simulationSmart power grids2-s2.0-84885619786