D: Masanari Kondo

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  • e-mail: m-kondo (at) se.is.kit.ac.jp
  • Web site »

Interested Topics

  • Causal analysis on effort metrics data in software
  • Future extraction of software metrics by RBM
  • Deep-learning based fault prediction

Research works

  • Juntong Hong, Osamu Mizuno, and Masanari Kondo, "An Empirical Study of Source Code Detection Using Image Classification," In Proc. of 10th International Workshop on Empirical Software Engineering in Practice (IWESEP 2019), December (accepted, to appear). (Tokyo, Japan) (Acceptance rate: 50% (9/18))
  • Masanari Kondo, Daniel German, Osamu Mizuno, and Eun-Hye Choi, "The Impact of Context Metrics on Just-In-Time Defect Prediction," Empirical Software Engineering, 10.1007/s10664-019-09736-3, August 2019. (JCR: 4.457 (2019))
  • 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, 10.1007/s10664-018-9679-5, 2019. (JCR: 4.457 (2019))
  • 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.
  • Sayaka Kitamura, Masanari Kondo, Osamu Mizuno, "類似した開発者の分類と不具合予測におけるその効果," ソフトウェアエンジニアリングシンポジウム2019 (SES2019)論文集, pp. 180-189, August 2019.
  • 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.
  • Masanari Kondo, Cor-Paul Bezemer, Yasutaka Kamei, Ahmed E. Hassan, and Osamu Mizuno, "SIGSE卓越研究賞: The Impact of Feature Reduction Techniques on Defect Prediction Models," Empirical Software Engineering, 10.1007/s10664-018-9679-5, August 2019.
  • Masanari Kondo, Daniel German, Osamu Mizuno, and Eun-Hye Choi, "SIGSE卓越論文賞: The Impact of Context Lines on Just-In-Time Defect Prediction,," Empirical Software Engineering, August 2019.
  • Masanari Kondo, Keita Mori, Osamu Mizuno, Eun-Hye Choi, "Just-In-Time Defect Prediction Applying Deep Learning to Source Code Changes," 情報処理学会論文誌, 59(4), pp. 1250-1261, April 2018.
  • Masanari Kondo, Osamu Mizuno, and Eun-Hye Choi, "Causal-Effect Analysis Using Bayesian Lingam Comparing with Correlation Analysis in Function Point Metrics and Effort," International Journal of Mathematical, Engineering and Management Sciences (IJMEMS), 3(2), 90–112, 2018.
  • Masanari Kondo, Keita Mori, Osamu Mizuno, Eun-Hye Choi, "Specially Selected Paper: Just-In-Time Defect Prediction Applying Deep Learning to Source Code Changes," Trans. of Information Processing Society of Japan, 59(4), pp. 1250-1261, April 2018.
  • Masanari Kondo, Keita Mori, Osamu Mizuno, Eun-Hye Choi, "善吾賞: 深層学習による不具合混入コミットの予測と評価(SES2017発表論文)," NPO法人 ASTER, March 2018.
  • Masanari Kondo, Keita Mori, Osamu Mizuno, Eun-Hye Choi, "深層学習による不具合混入コミットの予測と評価," ソフトウェアエンジニアリングシンポジウム2017論文集 (SES2017) , pp. 35-44, August 2017. (東京都)
  • Masanari Kondo, Osamu Mizuno, "Analysis on Effort Datasets by Causal-Effect Relationship Using Lingam," 電子情報通信学会技術報告, 116(426, SS2016-36), pp. 1-6, January 2017. (京都市)
  • Masanari Kondo, "Unsupervised Defect Prediction with Restricted Boltzmann Machine," 卒業研究報告書, 京都工芸繊維大学, February 2017.
  • Masanari Kondo, Keita Mori, Osamu Mizuno, Eun-Hye Choi, "最優秀論文賞: 深層学習による不具合混入コミットの予測と評価," ソフトウェアエンジニアリングシンポジウム2017 (SES2017), August 2017.
  • Masanari Kondo and Osamu Mizuno, "Analysis on Causal-Effect Relationship in Effort Metrics Using Bayesian LiNGAM," In Proc. of 27th International Symposium on Software Reliability Engineering (ISSRE2016), Workshops proceeding, pp. 47-48, October 2016. (Ottawa, Canada)