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J-GLOBAL ID:202102273383837064   Reference number:21A1524231

Software Defect Prediction for Healthcare Big Data: An Empirical Evaluation of Machine Learning Techniques

健康管理ビッグデータのためのソフトウェア欠陥予測:機械学習技術の経験的評価【JST・京大機械翻訳】
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Volume: 2021  Page: Null  Publication year: 2021 
JST Material Number: U7772A  ISSN: 2040-2295  Document type: Article
Article type: 原著論文  Country of issue: United Kingdom (GBR)  Language: ENGLISH (EN)
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Software defect prediction (SD...
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Reference (57):
  • A. O. Balogun, A. O. Bajeh, V. A. Orie, A. W. Yusuf-asaju, "Software defect prediction using ensemble learning: an ANP based evaluation method," Journal of Engineering Technology, vol. 3, no. 2, pp. 50-55, 2018.
  • T. Menzies, Z. Milton, B. Turhan, B. Cukic, Y. Jiang, A. Bener, "Defect prediction from static code features: current results, limitations, new approaches," Automated Software Engineering, vol. 17, no. 4, pp. 375-407, 2010.
  • T. Hall, S. Beecham, D. Bowes, D. Gray, S. Counsell, "A systematic literature review on fault prediction performance in software engineering," IEEE Transactions on Software Engineering, vol. 38, no. 6, pp. 1276-1304, 2012.
  • Z. Li, X.-Y. Jing, X. Zhu, "Progress on approaches to software defect prediction," IET Software, vol. 12, no. 3, pp. 161-175, 2018.
  • H. Wang, "Software defects classification prediction based on mining software repository," 2014.
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