Title
Semantic analysis and verification of context-driven adaptive applications in intelligent environments.
Abstract
With the advent of the Internet of Things (IoT) and Cyber-Physical Systems (CPS), assistive applications and smart environments can tap into a growing amount of context information to learn about their users, their surroundings and typical behavior. This information is useful to adapt intelligently, autonomously and non-intrusively to a myriad of circumstances. However, trustworthiness and reliable adaptation to changes in line with user expectations—especially to situations that the developers did not anticipate—remain key concerns. Understanding the impact of changes from a developer (design time) and system (runtime) perspective, and ensuring that no undesired side effects take place are two non-trivial research challenges to increase the adoption of such applications. Given the limited tool support for anticipating change at design time and runtime, we present our change impact analysis (CIA) methodology—found in the formal semantic modeling of intelligent environments and rule-based application behavior—to contribute to the development and deployment of reliable context-aware adaptive applications. We validate our contributions on non-trivial smart home and office scenarios, and demonstrate how our framework helps increase trust in intelligent environment applications by anticipating change implications upfront at design time and by minimizing the occurrence of undesired side effects at runtime.
Year
DOI
Venue
2016
10.1007/s40860-016-0019-5
J. Reliable Intelligent Environments
Keywords
Field
DocType
Semantic verification, Change impact analysis, Context, Reliability, Rule-based adaptation, Intelligent environments
Change impact analysis,Intelligent environment,Smart environment,Software deployment,Computer science,Computer security,Trustworthiness,Internet of Things,Home automation
Journal
Volume
Issue
ISSN
2
2
2199-4676
Citations 
PageRank 
References 
4
0.39
20
Authors
2
Name
Order
Citations
PageRank
Davy Preuveneers170565.56
Wouter Joosen22898287.70