Presentation | 2015-01-26 An Empirical Study on Requirements Elicitation from Feedback Comments Using LDA Hitoshi TAKAHASHI, Hiroyuki NAKAGAWA, Tatsuhiro TSUCHIYA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Feedback comments, such as mailing list and reviews, include useful information for software developers. In this study, we try to automatically elicit software requirements from feedback comments. We use Latent Dirichlet Allocation (LDA), which is a promising way of topic modeling, for this elicitation. We applied it to two different sources, i.e., Apache Commons User List and App Store reviews, and discuss the feasibility and effectiveness of this approach for applying to these two different sources. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | requirements elicitation / feedback comments / LDA |
Paper # | KBSE2014-39 |
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Committee | KBSE |
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Conference Date | 2015/1/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Knowledge-Based Software Engineering (KBSE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Empirical Study on Requirements Elicitation from Feedback Comments Using LDA |
Sub Title (in English) | |
Keyword(1) | requirements elicitation |
Keyword(2) | feedback comments |
Keyword(3) | LDA |
1st Author's Name | Hitoshi TAKAHASHI |
1st Author's Affiliation | Department of Information and Computer Sciences, School of Engineering Science, Osaka University() |
2nd Author's Name | Hiroyuki NAKAGAWA |
2nd Author's Affiliation | Graduate School of Infomation Science and Technology, Osaka University |
3rd Author's Name | Tatsuhiro TSUCHIYA |
3rd Author's Affiliation | Graduate School of Infomation Science and Technology, Osaka University |
Date | 2015-01-26 |
Paper # | KBSE2014-39 |
Volume (vol) | vol.114 |
Number (no) | 420 |
Page | pp.pp.- |
#Pages | 6 |
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