Towards a semantic web based approach for feature interaction detection

The feature interaction problem was originally considered in the telecommunications domain and expanding to software engineering which occurs when the composition of features leads to undesirable system behaviors. In this paper we explore a semantic web based method to model features in requirements phase and detect interactions among features via semantic web rule language. The specifications of features are represented with the OWL semantic web languages, and interaction scenarios are expressed with semantic rules. The proposed method can be applied to detect infestations of features with tool support as Protege and SWRLTab for automation.