M: Masanari Kondo

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Interested Topics

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

Research works

  • 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)