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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/3182

Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Author(s): Kolberg, Mario
Buford, John
Dhara, Kishore
Wu, Xiaotao
Krishnaswamy, Venky
Contact Email: mko@cs.stir.ac.uk
Title: Feature Interaction Analysis for Collaboration Spaces with Communication Endpoints
Citation: Kolberg M, Buford J, Dhara K, Wu X & Krishnaswamy V (2010) Feature Interaction Analysis for Collaboration Spaces with Communication Endpoints In: IEEE Global Telecommunications Conference GLOBECOM 2010, 2010, Hoboken, NJ: Institute of Electrical and Electronics Engineers (IEEE). IEEE Globecom 2010, pp. 1-6.
Issue Date: Dec-2010
Series/Report no.: IEEE Global Telecommunications Conference GLOBECOM
Conference Name: IEEE Globecom 2010
Abstract: Online collaboration platforms such as Google Wave provide basic tools for collaboration and communication as well as an interface to include external applications. Separately, we have defined a collaboration platform called ConnectedSpaces which extends these basic capabilities towards enterprise use. Using the ConnectedSpaces model, here we categorize, illustrate, and analyze new types of feature interactions for collaboration platforms. Furthermore, we discuss handling feature interactions which are caused by using ConnectedSpaces as a communication endpoint with enterprise communication platforms. The work in this paper is novel as it is the first investigation into feature interactions with collaboration platforms. Our approach uses a runtime feature interaction technique which can cope with features provided by different organizations.
Type: Conference Paper
Status: Publisher version
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.
URI: http://hdl.handle.net/1893/3182
URL: http://ieeexplore.ieee.org/xpl/tocresult.jsp?sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A5683069%29&searchWithin=Feature%20Interaction%20Analysis%20for%20Collaboration%20Spaces%20with%20Communication%20Endpoints&pageNumber=1&resultAction=REFIN
Affiliation: Computing Science - CSM Dept
Avaya Labs Research
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