Presentation 2001/10/11
Experimental Evaluation of Interaction-Prone Scenario Derivation Method in Feature Interaction Filtering
Pattara Leelaprute, Masahide Nakamura, Tohru Kikuno,
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Abstract(in English) Feature Interactions(FI, in short)are functional conflicts among features of telecommunication services. Since detecting all possible FIs takes huge costs, the technology of FI filtering is emerging, which roughly identifies FI-prone service combinations with simple indications. However, the previous filtering identifies the FI-prone combinations only. It cannot derive concrete scenarios in which potential FIs may exist. So, we have proposed a new scenario derivation method for FI-prone combinations. The goal of this paper is to evaluate the scenario derivation method. The evaluation is conducted with respect to scenario coverage and filtering quality, using specifications of FI detection contest. The result shows that the proposed method have covered all FI scenarios detected in the contest.
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Paper # SS2001-26,KBSE2001-28
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Committee KBSE
Conference Date 2001/10/11(1days)
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Registration To Knowledge-Based Software Engineering (KBSE)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Experimental Evaluation of Interaction-Prone Scenario Derivation Method in Feature Interaction Filtering
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1st Author's Name Pattara Leelaprute
1st Author's Affiliation Graduate School of Engineering Science, Osaka University()
2nd Author's Name Masahide Nakamura
2nd Author's Affiliation Cybermedia Center, Osaka University
3rd Author's Name Tohru Kikuno
3rd Author's Affiliation Graduate School of Engineering Science, Osaka University
Date 2001/10/11
Paper # SS2001-26,KBSE2001-28
Volume (vol) vol.101
Number (no) 360
Page pp.pp.-
#Pages 7
Date of Issue