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LSA-X: Exploiting Productivity Factors in Linear Size Adaptation for Analogy-Based Software Effort Estimation
http://hdl.handle.net/10061/12237
http://hdl.handle.net/10061/122371c65162c-51c7-4abb-b74a-29474c208f89
名前 / ファイル | ライセンス | アクション |
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fulltext (432.2 kB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2018-03-29 | |||||
タイトル | ||||||
タイトル | LSA-X: Exploiting Productivity Factors in Linear Size Adaptation for Analogy-Based Software Effort Estimation | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | software development effort estimation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | analogy | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | adaptation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | productivity factor | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | empirical experiments | |||||
資源タイプ | ||||||
資源タイプ | journal article | |||||
アクセス権 | ||||||
アクセス権 | open access | |||||
著者 |
Phannachitta, Passakorn
× Phannachitta, Passakorn× Monden, Akito× Keung, Jacky× 松本, 健一 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Analogy-based software effort estimation has gained a considerable amount of attention in current research and practice. Its excellent estimation accuracy relies on its solution adaptation stage, where an effort estimate is produced from similar past projects. This study proposes a solution adaptation technique named LSA-X that introduces an approach to exploit the potential of productivity factors, i.e., project variables with a high correlation with software productivity, in the solution adaptation stage. The LSA-X technique tailors the exploitation of the productivity factors with a procedure based on the Linear Size Adaptation (LSA) technique. The results, based on 19 datasets show that in circumstances where a dataset exhibits a high correlation coefficient between productivity and a related factor (r?0.30), the proposed LSA-X technique statistically outperformed (95% confidence) the other 8 commonly used techniques compared in this study. In other circumstances, our results suggest using any linear adaptation technique based on software size to compensate for the limitations of the LSA-X technique. | |||||
書誌情報 |
en : IEICE Transactions on Information and Systems 巻 E99.D, 号 1, p. 151-162, 発行日 2016-01-01 |
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出版者 | ||||||
出版者 | 電子情報通信学会 | |||||
出版者URL | ||||||
権利情報 | http://search.ieice.org/bin/summary.php?id=e99-d_1_151&category=D&year=2016&lang=E&abst= | |||||
EISSN/PISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1745-1361 | |||||
出版者版DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1587/transinf.2015EDP7237 | |||||
権利 | ||||||
権利情報 | Copyright c 2016 IEICE | |||||
著者版フラグ | ||||||
出版タイプ | VoR |