Y. Liu and R. Meier ‘Feature Interaction in Pervasive Computing Systems’ in proceedings of the First International DisCoTec Workshop on Context-aware Adaptation Mechanisms for Pervasive and Ubiquitous Services (CAMPUS 2008), Oslo, Norway, University of Oslo, Department of Informatics, Technical Report no.374, 2008, pp 103 - 108
Feature interaction describes a situation where the combination of two or
more services that individually perform correctly results in unexpected and possibly
adverse behaviour. Such feature interaction issues have first been identified in
telecommunication systems and are now beginning to be considered in other
distributed software systems. We expect significant feature interaction research in
pervasive computing where very many applications collaborate and adapt to changes
to their environment or to user needs in order to provide tailored services to users.
This paper presents a classification of feature interaction issues in pervasive
computing systems. The classification captures, with a focus on automotive systems
and systems for smart homes, feature interaction issues related to types of
interaction, channels of interaction, and user needs. The classification aims to aid the
understanding of feature interaction in pervasive computing systems, and to serve as
a guideline for designers of pervasive applications.
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