Analysis and verification of ECA rules in intelligent environments
Cacciagrano, Diletta Romana, Corradini, Flavio, Culmone, Rosario, Gorogiannis, Nikos ORCID: https://orcid.org/0000-0001-8660-6609, Mostarda, Leonardo, Raimondi, Franco
ORCID: https://orcid.org/0000-0002-9508-7713 and Vannucchi, Claudia
(2018)
Analysis and verification of ECA rules in intelligent environments.
Journal of Ambient Intelligence and Smart Environments, 10
(3)
.
pp. 261-273.
ISSN 1876-1364
[Article]
(doi:10.3233/ais-180487)
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Abstract
Intelligent Environments (IEs) are physical spaces where Information Technology (IT) and other pervasive computing technologies are combined in order to achieve specific goals for the users and the environment. IEs have the goal of enriching user experience, increasing awareness of the environment. A number of applications are currently being deployed in domains ranging from smart homes to e-health and autonomous vehicles. Quite often IE support human activities, thus essential requirements to be ensured are correctness, reliability, safety and security. In this paper we present how a set of techniques and tools that have been developed for the verification of software can be employed in the verification of IE described by means of event-condition-action rules. More precisely, we reduce the problem of verifying key properties of these rules to satisfiability and termination problems that can be addressed using state-of-the-art Satisfiability Modulo Theory (SMT) solvers and program analysers. Our approach has been implemented in a tool called vIRONy. Our approach has been validated on a number of case studies from the literature.
Item Type: | Article |
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Keywords (uncontrolled): | Software |
Research Areas: | A. > School of Science and Technology > Computer Science |
Item ID: | 24501 |
Notes on copyright: | The final publication is available at IOS Press through http://dx.doi.org/10.3233/ais-180487 |
Useful Links: | |
Depositing User: | Jisc Publications Router |
Date Deposited: | 03 Jul 2018 17:54 |
Last Modified: | 29 Nov 2022 19:51 |
URI: | https://eprints.mdx.ac.uk/id/eprint/24501 |
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