発表論文

2020 年

• 論文誌^{（査読あり）}
  1. Akira Matsumoto, Tomoyuki Yokogawa, Sousuke Amasaki, Hirohisa Aman, and Kazutami Arimoto,
     “Synthesis and Consistency Verification of UML Sequence Diagrams with Hierarchical Structure,”
     Information Engineering Express, vol.6, no.2, pp.1–19, Dec. 2020.
  2. 宮本 敦哉，阿萬 裕久，川原 稔，
     “バグ混入予測の精度向上に向けた個人化予測モデルの組合せ手法とその評価,”
     コンピュータソフトウェア，Vol.37, No. 4, pp.38–49, Nov. 2020.
  3. Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa and Minoru Kawahara,
     “Empirical Study of Abnormality in Local Variables and Its Application to Fault‐Prone Java Method Analysis,”
     Journal of Software: Evolution and Process, Vol.32, No.4, pp.e2220, Apr. 2020.
• 国際会議^{（査読あり）}
  1. Masanao Asato, Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa and Minoru Kawahara,
     “A Mahalanobis Distance-Based Integration of Suspicious Scores For Bug Localization,”
     Proc. 27th Asia-Pacific Software Engineering Conference (APSEC 2020), pp.475–479, Dec. 2020. [accepted version]
  2. Sousuke Amasaki, Hirohisa Aman and Tomoyuki Yokogawa,
     “An Exploratory Study on Applicability of Cross Project Defect Prediction Approaches to Cross-Company Effort Estimation,”
     Proc. 16th ACM International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE2020),pp.71–80, Nov. 2020.【Best Paper Award 受賞】
  3. Hayato Naito, Tomouki Yokogawa, Nao Igawa, Sousuke Amasaki, Hirohisa Aman and Kazutami Arimoto,
     “A Node-Style Visual Programming Environment for the nuXmv Model Checker,”
     Proc. 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE2020), pp.58–62, Oct. 2020.
  4. Sousuke Amasaki, Hirohisa Aman and Tomoyuki Yokogawa,
     “On the Effects of File-Level Information on Method-Level Bug Localization,”
     Proc. 2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA2020), pp.314–321, Aug. 2020.
  5. Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa and Minoru Kawahara,
     “A Comparative Study of Vectorization-Based Static Test Case Prioritization Methods,”
     Proc. 2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA2020), pp.80–88, Aug. 2020. [accepted version]
• ワークショップ^{（査読あり）}
  1. 山中 啓太，阿萬 裕久，川原 稔，
     “Doc2Vec を活用した変数名の自動評価法の提案,”
     石尾隆，天嵜聡介 編 ソフトウェア工学の基礎 XXVII，pp.51–56, 近代科学社，2020．【FOSE2020 貢献賞受賞】

2019 年

• 論文誌^{（査読あり）}
  1. 川上 卓也，阿萬 裕久，川原 稔，
     “データ依存関係に着目したフォールト混入リスク評価メトリクスの提案,” コンピュータソフトウェア，Vol.36, No. 4, pp.32–38, Nov. 2019.
• 国際会議^{（査読あり）}
  1. Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa and Minoru Kawahara,
     “Empirical Study of Fault Introduction Focusing on the Similarity among Local Variable Names,” Proc. 7th International Workshop on Quantitative Approaches to Software Quality, pp. 3–11, Dec. 2019. [data]
  2. Sousuke Amasaki, Tomoyuki Yokogawa and Hirohisa Aman,
     “Applying Cross Project Defect Prediction Approaches to Cross-Company Effort Estimation,” Proc. 15th International Conference on Predictive Models and Data Analytics in Software Engineering, pp. 76–79, Sept. 2019.
  3. Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa and Minoru Kawahara,
     “A Survival Analysis-Based Prioritization of Code Checker Warning: A Case Study Using PMD,” Roger Lee (ed.), Big Data, Cloud Computing, and Data Science Engineering. Studies in Computational Intelligence, vol. 844, pp. 69–83, Springer, Cham, Jan. 2020. [DOI 10.1007/978-3-030-24405-7_5] [実験データ]
  4. Sousuke Amasaki, Hirohisa Aman and Tomoyuki Yokogawa,
     “A Comparative Study of Vectorization Methods on BugLocator,” Proc. 2019 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA2019), pp.236–243, Aug. 2019.
  5. Akira Matsumoto, Tomoyuki Yokogawa, Sousuke Amasaki, Kazutami Arimoto and Hirohisa Aman,
     “Consistency Verification of UML Sequence Diagrams Modeling Wireless Sensor Networks,” Proc. 8th International Congress on Advanced Applied Informatics, pp.458–461, July 2019.
  6. Shozo Saeki, Minoru Kawahara and Hirohisa Aman,
     “Scalable Laplacian Regularized Least Squares Classification on Anchor Graph,” Proc. 2019 IEEE/ACIS 4th International Conference on Big Data, Cloud Computing, Data Science & Engineering, pp.71–76, May 2019.
  7. Sousuke Amasaki, Tomoyuki Yokogawa and Hirohisa Aman,
     “Towards Better Effort Estimation with Cross-Project Defect Prediction Approaches,” Proc. Evaluation and Assessment on Software Engineering Conference (EASE 2019), pp.357–360, Apr. 2019.
• ワークショップ^{（査読あり）}
  1. 宮本 敦哉，阿萬 裕久，川原 稔，
     “他の開発者向けに構築された個人化バグ予測モデルの活用に関する提案,” 森崎修司，大平雅雄 編 ソフトウェア工学の基礎 XXVI，pp.3–12, 近代科学社，2019．【IEEE Computer Society Japan Chapter FOSE Young Researcher Award 受賞】
• 研究会
  1. 川上 卓也，阿萬 裕久，川原 稔，
     “変数に着目した変更メトリクスの有効性について ～ フォールト混入予測精度の比較実験 ～，”電子情報通信学会技術研究報告，vol.119, no.246, SS2019-22, pp.53–58, Oct. 2019.
  2. 安里 昌真，阿萬 裕久，川原 稔，
     “バグ票の類似度に基づいたバグ位置推定手法の改善に向けた提案 ～ TraceScore値の分配に関する比較実験 ～，”電子情報通信学会技術研究報告，vol.119, no.112, SS2019-4, pp.99–104, July 2019.
  3. 松本明，横川智教，天嵜聡介，阿萬裕久，有本和民，
     “階層的な制御構造をもつシーケンス図間の整合性検証手法の開発，” 電子情報通信学会技術研究報告，vol.119, no.112, SS2019-2, pp.47–52, July 2019.
  4. 内藤駿人，横川智教，天嵜聡介，阿萬裕久，有本和民，
     “ビジュアルプログラミングを用いたNuSMVのモデル生成支援環境，” 電子情報通信学会技術研究報告，vol.119, no.112, SS2019-1, pp.41–46, July 2019.

2018 年

• 論文誌^{（査読あり）}
  1. 鈴木 翔，阿萬 裕久，川原 稔，
     “決定木を利用したJavaメソッドの名前と実装の間の適合性判定モデルとその評価,” コンピュータソフトウェア，Vol.35, No. 4, pp.115–121, Nov. 2018.
  2. Akito Sunouchi, Hirohisa Aman and Minoru Kawahara,
     “A Quantitative Analysis on Relationship between an Early-Closed Bug and Its Amount of Clues: A Case Study of Apache Ant,” IEICE Trans. Inf. & Syst., vol.E101-D, no.10, pp.2523–2525, Oct. 2018.
  3. Kazuki Yamauchi, Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa and Minoru Kawahara,
     “An Entropy-Based Metric of Developer Contribution in Open Source Development and Its Application to Fault-Prone Program Analysis,” International Journal of Networked and Distributed Computing, Vol.6, No.3, pp.118–132, July 2018.
  4. Takanori Kudo, Tomotaka Kimura, Yoshiaki Inoue, Hirohisa Aman and Kouji Hirata,
     “Stochastic modeling of self-evolving botnets with vulnerability discovery,” Computer Communications, Vol.124, pp.101–110, June 2018.
• 国際会議^{（査読あり）}
  1. Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa and Minoru Kawahara,
     “A Doc2Vec-Based Assessment of Comments and Its Application to Change-Prone Method Analysis,” Proc. 25th Asia-Pacific Software Engineering Conference (APSEC 2018), pp.643–647, Dec. 2018. [accepted version] [実験データ]
  2. Keiichiro Tashima, Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa and Minoru Kawahara,
     “Fault-Prone Java Method Analysis Focusing on Pair of Local Variables with Confusing Names,” Proc. 2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA2018), pp.154–158, Aug. 2018. [accepted version]
  3. Aji Ery Burhandenny, Hirohisa Aman and Minoru Kawahara,
     “Empirical Analysis of Coding Standard Violation Focusing on Its Coverage and Importance,” Proc. 2018 IEEE 42nd Annual Computer Software and Applications Conference, pp. 837–838, July 2018. [accepted version]
  4. Kazuki Yamauchi, Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa and Minoru Kawahara,
     “Fault-Prone Source File Analysis Focusing on the Contribution Entropy in Open Source Development,” Proc. 2018 IEEE/ACIS 3rd International Conference on Big Data, Cloud Computing, Data Science & Engineering, pp.7–14, July 2018. [accepted version] 【Best Student Paper Award 受賞】
  5. Hirohisa Aman, Takashi Nakano, Hideto Ogasawara and Minoru Kawahara,
     “A Topic Model and Test History-Based Test Case Recommendation Method for Regression Testing,” Proc. 2018 IEEE International Conference on Software Testing, Verification and Validation Workshops, pp.392–397, Apr. 2018. [accepted version]
• ワークショップ^{（査読あり）}
  1. 川上 卓也，阿萬 裕久，川原 稔，
     “フォールト混入のリスク評価に向けたソースコード変更メトリクスの提案,” 伊藤恵，神谷年洋 編 ソフトウェア工学の基礎 XXV，pp.47–52, 近代科学社，2018．