Title
Feature Interaction as a Context Sharing Problem
Abstract
We argue that the feature interaction problem arises primarily from sharing of context and hence features should be structured and analysed through a notation that makes context explicit. We support this argument with three sets of evidence. Firstly, we express feature interaction through Zave and Jackson's entailment relation. With the entailment relation, we structure a feature as a relation between three sets of descriptions: requirement, context, and specification. We show that feature interactions arise due to shared context. Secondly, we examine the literature on sources of feature interactions and conclude that inconsistencies between requirements are ultimately manifested on shared context. Finally, we study feature interaction taxonomies and show that in the characterisation of feature interactions in taxonomies, context sharing is central.
Year
DOI
Venue
2009
10.3233/978-1-60750-014-8-133
FEATURE INTERACTIONS IN SOFTWARE AND COMMUNICATION SYSTEMS X
Keywords
Field
DocType
Context Sharing,Feature Interaction Problem,Entailment Relation,Feature Interaction Taxonomies,Requirements Inconsistency
Notation,Logical consequence,Computer science,Natural language processing,Feature interaction problem,Artificial intelligence,Machine learning
Conference
Citations 
PageRank 
References 
4
0.55
0
Authors
3
Name
Order
Citations
PageRank
Armstrong Nhlabatsi1255.65
Robin Laney252439.39
Bashar Nuseibeh34201347.16