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Title:      A HIGH ABSTRACTION LEVEL APPROACH FOR DETECTING FEATURE INTERACTIONS IN WEB SERVICES
Author(s):      Ahmed Khoumsi, Zohair Chentouf and Safwan Qasem
ISBN:      978-972-8939-67-0
Editors:      Piet Kommers and Pedro Isaías
Year:      2012
Edition:      Single
Keywords:      Composing web services; Feature interaction detection; High abstraction level; Use-Modify; Active/passive objects
Type:      Full Paper
First Page:      323
Last Page:      334
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      Composing Web services is prone to feature interactions, which denote undesirable behaviors arising when several Web services are used together. The existing methods for detecting feature interactions suffer generally from state space explosion. We develop a method to detect feature interactions in Web services, which targets to reduce such a state space explosion problem while trying to keep an acceptable power of feature interaction detection. The proposed method is based on the use of a language called Use-Modify which models Web services at a high abstraction level. A Use-Modify model of a Web service provides information such as: who uses what, who modifies what, and specifies the frequency of each operation of use and modify by words like “always”, “sometimes” and “never”. Use-Modify is also used to indicate, for each use and modify, whether there are conditions, without giving any information on those conditions. We demonstrate the applicability of our feature interaction detection method in several examples.
   

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