Data Verification for Collective Adaptive Systems: Spatial Model-Checking of Vehicle Location Data

Vincenzo Ciancia, Stephen Gilmore, Diego Latella, Michele Loreti, Mieke Massink
2014 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops  
In this paper we present the use of a novel spatial model-checker to detect problems in the data which an adaptive system gathers in order to inform future action. We categorise received data as being plausible, implausible, possible or problematic. Data correctness is essential to ensure correct functionality in systems which adapt in response to data and our categorisation influences the degree of caution which should be used in acting in response to this received data. We illustrate the
more » ... y with a concrete example of detecting errors in vehicle location data for buses in the city of Edinburgh. Vehicle location data is visualised symbolically on a street map, and categories of problems identified by the spatial model-checker are rendered by repainting the symbols for vehicles in different colours.
doi:10.1109/sasow.2014.16 dblp:conf/saso/CianciaGLLM14 fatcat:gxvfoezihbck5dpy7qrrpg765u