Browsing by Subject "Toolsets"

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    An approach for detecting inconsistencies between behavioral models of the software architecture and the code
    (2012-07) Çıracı, Selim; Sözer, Hasan; Tekinerdoğan, Bedir
    In practice, inconsistencies between architectural documentation and the code might arise due to improper implementation of the architecture or the separate, uncontrolled evolution of the code. Several approaches have been proposed to detect inconsistencies between the architecture and the code but these tend to be limited for capturing inconsistencies that might occur at runtime. We present a runtime verification approach for detecting inconsistencies between the dynamic behavior of the documented architecture and the actual runtime behavior of the system. The approach is supported by a set of tools that implement the architecture and the code patterns in Prolog, and automatically generate runtime monitors for detecting inconsistencies. We illustrate the approach and the toolset for a Crisis Management System case study. © 2012 IEEE.
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    A run-time verification framework for smart grid applications implemented on simulation frameworks
    (IEEE, 2013-05) Çıracı, Selim; Sözer, Hasan; Tekinerdoğan, Bedir
    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. © 2013 IEEE.