Predicting Feature Interactions by Using Inconsistency Models
Source: Reed Elsevier
Internet applications, such as Email, VoIP and WWW have been enhanced with many features. However, the introduction and modification of features may result in undesired behaviours, and this effect is known as feature interaction-FI. In this paper, the authors propose a proactive approach for FI detection. Supported by sets of all possible events, predicates and inconsistent behaviours, they generate hypothetical new features that interact with a given feature. By predicting FIs, the feature subscriber may define, in advance, all mechanisms to resolve the FIs that may occur in the future. They adopt a semantic model, based on group theory, for the feature axiomatic specification.