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 Japanese) | (See Japanese page) |
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 |
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Conference Date | 2001/10/11(1days) |
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Registration To | Knowledge-Based Software Engineering (KBSE) |
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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 |
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