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J-GLOBAL ID:201802230617222737   Reference number:18A0657265

インパクトスケールを用いた不具合修正にかかわるソフトウェア変更の予測

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Volume: 2018  Issue: SE-198  Page: Vol.2018-SE-198,No.33,1-8 (WEB ONLY)  Publication year: Mar. 02, 2018 
JST Material Number: U0451A  Document type: Proceedings
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Computer system development 
Reference (29):
  • 丸山志保,柳田礼子:レビュー重視と品質・生産性の関係分析-品質と生産性の向上は両立するか-,ソフトウェア品質シンポジウム 2017 講演論文集 (CD-ROM),pp. 1-7 (2017).
  • 独立行政法人情報処理推進機構 技術本部ソフトウェア高信頼化センター 高信頼性定量化部会信頼性メトリクス WG:横断的アプローチによるソフトウェア開発データの分析~高信頼性定量化部会信頼性メトリクス WG 検討報告書~, https://www.ipa.go.jp/sec/reports/20150416_1.html (2015).
  • Catal, C. and Diri, B.: A systematic review of software fault prediction studies, Expert systems with applications, Vol. 36, No. 4, pp. 7346-7354 (2009).
  • Malhotra, R.: A systematic review of machine learning techniques for software fault prediction, Applied Soft Computing, Vol. 27, pp. 504-518 (2015).
  • Moser, R., Pedrycz, W. and Succi, G.: A comparative analysis of the efficiency of change metrics and static code attributes for defect prediction, Proceedings of the 30th international conference on Software engineering, ACM, pp. 181-190 (2008).
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