学術論文誌(査読付)

[1] Khine Yin Mon, Masanari Kondo, Eunjong Choi, and Osamu Mizuno , "Commit-Based Class-Level Defect Prediction Models for Python Projects," IEICE Trans. on Information and Systems, volume E106-D, number 2, pages 157-165, February 2023.

[2] Masanari Kondo, Daniel M. German, Osamu Mizuno, and Eun-Hye Choi, "The Impact of Context Metrics on Just-In-Time Defect Prediction," Empirical Software Engineering, volume 25, number 1, 890–939, 2020.

[3] Masanari Kondo, Cor-Paul Bezemer, Yasutaka Kamei, Ahmed E. Hassan, and Osamu Mizuno, "The Impact of Feature Reduction Techniques on Defect Prediction Models," Empirical Software Engineering, volume 24, number 4, 1925–1963, 2019.

[4] 中野 裕也, 水野 修, 菊野 亨, 阿南 佳之, 田中 又治, "コードレビューの密度と効率がコード品質に与える影響の分析," SEC journal, volume 2, number 4, pages 10-17, 2006年11月.

国際会議(査読付)

[1] Kinari Nishiura, Takeki Kasagi, and Akito Monden, "A Cost-Effectiveness Metric for Association Rule Mining in Software Defect Prediction," In Proc. 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE), pages 2615-2620, July 2023.

国際会議 (Journal First)

[1] Masanari Kondo, Cor-Paul Bezemer, Yasutaka Kamei, Ahmed E. Hassan, and Osamu Mizuno, "The Impact of Feature Reduction Techniques on Defect Prediction Models," In Proc. of International Conference on Software Engineering (ICSE2020), Journal first track, September 2020.

[2] Masanari Kondo, Daniel German, Osamu Mizuno, and Eun-Hye Choi, "The Impact of Context Metrics on Just-In-Time Defect Prediction," In Journal First/Conference Second track, International Conference on Software Maintenance and Evolution (ICSME 2019), September 2019.

学位論文

[1] Khine Yin Mon, "Commit-Based Class-Level Defect Prediction for Python Projects," Master thesis, Graduate School of Science and Technology, Kyoto Institute of Technology, 2022.

[2] 里形 洋道, "リリースを考慮したソフトウェアの不具合予測精度に SMOTE が与える影響の分析," 修士学位論文, 京都工芸繊維大学, 2022年.

[3] Masanari Kondo, "An Empirical Study of Feature Engineering on Software Defect Prediction," Ph.D. thesis, Kyoto Institute of Technology, 2020.

[4] Masanari Kondo, "The Impact of Feature Reduction Techniques on Defect Prediction Models," Master thesis, Graduate School of Science and Technology, Kyoto Institute of Technology, 2019.

[5] 近藤 将成, "RBMを用いたソフトウェアメトリクスの特徴抽出手法の提案," 卒業研究報告書, 京都工芸繊維大学, 2017年2月.

受賞

[1] 近藤 将成, 森 啓太, 水野 修, 崔 銀惠, "特選論文: 深層学習によるソースコードコミットからの不具合混入予測," 情報処理学会論文誌, volume 59, number 4, pages 1250-1261, 2018年4月.

[2] 中野 裕也, 水野 修, 菊野 亨, 阿南 佳之, 田中 又治, "コードレビューの密度と効率がコード品質に与える影響の分析," SEC journal 優秀論文賞, 2006年.