M: Masanari Kondo

Screen Shot 2016-06-28 at 14.02.26

Interested Topics

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

Research works

  • M. Kondo, O. Mizuno, and E. 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, (accepted, to appear).
  • M. Kondo, K. Mori, O. Mizuno, E. 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.
  • M. Kondo, K. Mori, O. Mizuno, E. 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.
  • M. 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.
  • M. Kondo, O. 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.