D: Masanari Kondo

Posted by On Filed under
[img type=”rounded” responsive=”true”] Screen Shot 2016-06-28 at 14.02.26
[/img]
  • 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

  • Masanari Kondo, Shinobu Saito, Yukako Iimura, Eunjong Choi, Osamu Mizuno, Yasutaka Kamei, and Naoyasu Ubayashi, "Towards Better Online Communication for Future Software Development in Industry," In Proc. of the 17th IEEE International Workshop on Quality Oriented Reuse of Software (QUORS2023), (accepted, to appear).
  • 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, E106-D(2), pp. 157-165, February 2023.
  • Masanari Kondo, Yutaro Kashiwa, Yasutaka Kamei, and Osamu Mizuno, "An Empirical Study of Issue-Link Algorithms: Which Issue-Link Algorithms Should We Use?," In Proc. of the 45th International Conference on Software Engineering (ICSE2023), Journal First Track, May 2023.
  • Takayuki Zukawa, Masanari Kondo, Eunjong Choi, Osamu Mizuno, "不具合予測適用に向けた構成管理ツールを用いた不具合修正コミットの調査," 電子情報通信学会技術研究報告, 122(432, SS2022-64), pp. 103-108, March 2023.
  • Masanari Kondo, Yutaro Kashiwa, Yasutaka Kamei, and Osamu Mizuno, "An Empirical Study of Issue-Link Algorithms: Which Issue-Link Algorithms Should We Use?," Empirical Software Engineering, 27(issue 6), article 136, 1--50, July 2022. (JCR: 3.762 (2021))
  • Masanari Kondo, Shinobu Saito, Yukako Iimura, Eunjong Choi, Osamu Mizuno, Yasutaka Kamei, and Naoyasu Ubayashi, "Challenges and Future Research Direction for Microtask Programming in Industry," In Proc. of Working Conference on Mining Software Repositories (MSR), pp. 103-104, 2022.
  • Takayuki Zukawa, Masanari Kondo, Kinari Nishiura, Eunjong Choi, Osamu Mizuno, "構成管理ツールにおける命令的操作が及ぼすソースコードレビューへの影響調査," ソフトウェア・シンポジウム 2021論文集, pp. 92--101, June 2021.
  • Hideyuki Teramura, Eunjong Choi, Masanari Kondo, Norihiro Yoshida, Osamu Mizuno, "ArduinoプロジェクトにおけるExample Sketchの再利用分析," ソフトウェア・シンポジウム 2021, pp. 102--111, June 2021.
  • Yukina Ohashi, Eunjong Choi, Norihiro Yoshida, Masanari Kondo, Osamu Mizuno, "深層学習モデルにおける差分の時系列変化可視化ツール DeepDiffViewer の提案," 第4回機械学習工学研究会(MLSE 夏合宿 2021), pp. 21-22, July 2021.
  • Masanari Kondo, Shinobu Saito, Yukako Iimura, Eunjong Choi, Osamu Mizuno, "An Investigation of Discussion Span in Open Source Projects," 電子情報通信学会技術報告, SS2020-18, 電子情報通信学会, January 2021.
  • Masanari Kondo, "An Empirical Study of Feature Engineering on Software Defect Prediction," Ph.D. thesis, Kyoto Institute of Technology, 2021.
  • Masanari Kondo, Gustavo A. Oliva, Zhen M. Jiang, Ahmed E. Hassan, and Osamu Mizuno, "Code Cloning in Smart Contracts: a Case Study on Verified Contracts from the Ethereum Blockchain Platform," Empirical Software Engineering, 25(6), 4617–4675, 2020. (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," Empirical Software Engineering, 25(1), 890–939, 2020. (JCR: 4.457 (2019))
  • Shoma Kokuryo, Masanari Kondo, and Osamu Mizuno, "An Empirical Study of Utilization of Imperative Modules in Ansible," In Proc. of the 20th International Conference on Software Quality, Reliability, and Security (QRS2020), pp. 442-449, December 2020. (Macau China)
  • Kai Yamamoto, Masanari Kondo, Kinari Nishiura, and Osamu Mizuno, "Which Metrics Should Researchers Use to Collect Repositories: an Empirical Study," In Proc. of the 20th International Conference on Software Quality, Reliability, and Security (QRS2020), pp. 458-466, December 2020. (Macau China)
  • 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.
  • Masanari Kondo, Eunjong Choi, Kinari Nishiura, Osamu Mizuno, "リモートワークにおけるソフトウェア開発者間のコミュニケーション方法の調査," ソフトウェアエンジニアリングシンポジウム2020論文集, 2020.
  • Masanari Kondo, "An Empirical Study of Feature Engineering on Software Defect Prediction," Ph.D. thesis, Kyoto Institute of Technology, 2020.
  • 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, 24(4), 1925–1963, 2019. (JCR: 4.457 (2019))
  • 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 2019. (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," 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)