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Istituto di Scienza e Tecnologie dell'Informazione     
Ciancia V., Gilmore S., Latella D., Loreti M., Massink M. Data verification for collective adaptive systems: spatial model-checking of vehicle location data. In: FoCAS @ SASO - FoCAS Workshp @ SASO - 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops (Imperial College, London, UK, 8 September 2014). Proceedings, pp. 32 - 37. IEEE, 2014.
 
 
Abstract
(English)
In this paper we present the use of a novel spa- tial 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 theory 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.
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7056349
DOI: 10.1109/SASOW.2014.16
Subject Collective Adaptive Systems
Spacial model-checking
F.4.1 Mathematical Logic
D.2.4 Software/Program Verification


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