発表論文

2023 年

• 論文誌^{（査読あり）}
  1. Kosuke Ohara, Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, and Minoru Kawahara,
     “A Comparative Study of Data Collection Periods for Just-In-Time Defect Prediction Using the Automatic Machine Learning Method,”
     IEICE Transactions on Information and Systems, Vol.E106.D, No. 2, pp.166–169, Feb. 2023.

• 研究会
  1. 大嶋 琉太，阿萬 裕久，川原 稔，
     “プログラム正誤判定におけるプログラムのベクトル化と類似度評価の関係について，”
     情報処理学会ウィンターワークショップ2023論文集，vol.2023, pp.11–12, Jan. 2023.
  2. 高橋 佑介，阿萬 裕久，川原 稔，
     “SBFL手法における疑惑値の分布とバグ限局精度の関係について，”
     情報処理学会ウィンターワークショップ2023論文集，vol.2023, pp.13–14, Jan. 2023.

• 招待講演
  1. 阿萬 裕久，
     “ソフトウェア工学におけるデータサイエンス，”
     電気学会 2023年1月19日-2023年1月20日通信研究会．
     

2022 年

• 論文誌^{（査読あり）}
  1. 峯久 朋也，阿萬 裕久，川原 稔，
     “Transformer によるメソッド名推定を活用したネーミングバグの検出,”
     コンピュータソフトウェア，Vol.39, No. 4, pp.17–23, Nov. 2022.
  2. Sousuke Amasaki, Hirohisa Aman and Tomoyuki Yokogawa,
     “An extended study on applicability and performance of homogeneous cross-project defect prediction approaches under homogeneous cross-company effort estimation situation,”
     Empirical Software Engineering, vol.27, no.2, pp.46:1–46:29, Mar. 2022.
• 国際会議^{（査読あり）}
  1. Sousuke Amasaki, Hirohisa Aman and Tomoyuki Yokogawa,
     “An Evaluation of Cross-Project Defect Prediction Approaches on Cross-Personalized Defect Prediction,”
     Taibi, D., Kuhrmann, M., Mikkonen, T., Klünder, J., Abrahamsson, P. (eds) Product-Focused Software Process Improvement, Lecture Notes in Computer Science, vol. 13709, pp.433–-448, Springer, Cham, Switzerland, Nov. 2022.
  2. Kazuki Wayama, Tomoyuki Yokogawa, Sousuke Amasaki, Hirohisa Aman, Kazutami Arimoto,
     “Verifying Game Logic in Unreal Engine 5 Blueprint Visual Scripting System Using Model Checking,”
     Proc. 37th IEEE/ACM International Conference on Automated Software Engineering Workshops, pp.213:1–213:8, Oct. 2022.
  3. Tenma Kita, Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, and Minoru Kawahara,
     “Have Java Production Methods Co-Evolved With Test Methods Properly?: A Fine-Grained Repository-Based Co-Evolution Analysis,”
     Proc. 48th Euromicro Conference on Software Engineering and Advanced Applications, pp.120–124, Aug.2022.
     [accepted version] [実験データ]
  4. Sousuke Amasaki, Hirohisa Aman, and Tomoyuki Yokogawa,
     “An Evaluation of Effort-Aware Fine-Grained Just-in-Time Defect Prediction Methods,”
     Proc. 48th Euromicro Conference on Software Engineering and Advanced Applications, pp.209–216, Aug.2022.
  5. Kazuma Toyota, Tomoyuki Yokogawa, Sousuke Amasaki, Hirohisa Aman and Kazutami Arimoto,
     “A Visual Modeling Environment for the nuXmv Model Checker Intended for Novice Users,”
     Proc. 7th International Conference on Enterprise Architecture and Information Systems (EAIS 2022), pp. 684-685, Jul. 2022.

• ワークショップ^{（査読あり）}
  1. 大嶋 琉太，阿萬 裕久，川原 稔，
     “プログラムのベクトル化と記号実行を活用した正誤判定の効率化,”
     角田 雅照，柗本 真佑 編 ソフトウェア工学の基礎 29，pp.85─90, 近代科学社Digital，Nov. 2022.
  2. 峯久 朋也，阿萬 裕久，川原 稔，
     “メソッド名の整合性評価のためのデータセット,”
     角田 雅照，柗本 真佑 編 ソフトウェア工学の基礎 29，pp.195─196, 近代科学社Digital，Nov. 2022. （※ライブ論文のため，ポスター発表）

• 研究会
  1. 高橋 佑介，阿萬 裕久，川原 稔，
     “自動バグ限局の効率化に向けた一提案:コード行の新しさによる重み付け，”
     第29回ソフトウェア工学の基礎ワークショップ （FOSE2022）ポスター発表．
     【ポスター・デモ賞を受賞】
  2. 高橋 亮至，阿萬 裕久，川原 稔，
     “Pycodestyleによる警告とバグ修正の関係に関する定量分析，”
     情報処理学会研究報告ソフトウェア工学，vol.2022-SE-212, no.12, pp.1–8, Dec. 2022.
  3. 峯久 朋也，阿萬 裕久，川原 稔，
     “機械学習によるメソッド名推定を活用したネーミングバグの検出，”
     ソフトウェア信頼性研究会 第16回ワークショップ（FORCE2022）.

2021 年

• 論文誌^{（査読あり）}
  1. 山中 啓太，阿萬 裕久，川原 稔，
     “プログラムスライスと Doc2Vec を用いた変数名評価法の提案，”
     コンピュータソフトウェア，Vol.38, No. 4, pp.9–15, Nov. 2021.
• 国際会議^{（査読あり）}
  1. Sousuke Amasaki, Hirohisa Aman and Tomoyuki Yokogawa,
     “Searching for Bellwether Developers for Cross-Personalized Defect Prediction,”
     Ardito L., Jedlitschka A., Morisio M., Torchiano M. (eds) Product-Focused Software Process Improvement, Lecture Notes in Computer Science, vol. 13126. Springer, Cham, pp.183–198, Nov. 2021.
  2. Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa and Minoru Kawahara,
     “An Investigation of Compound Variable Names Toward Automated Detection of Confusing Variable Pairs,”
     Proc. 36th IEEE/ACM International Conference on Automated Software Engineering Workshops, pp.133–137, Nov. 2021.
     [accepted version] [実験データ]
  3. Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa and Minoru Kawahara,
     “A Large-Scale Investigation of Local Variable Names in Java Programs: Is Longer Name Better for Broader Scope Variable?,”
     Paiva A.C.R., Cavalli A.R., Ventura Martins P., Pérez-Castillo R. (eds) Quality of Information and Communications Technology, Communications in Computer and Information Science, vol. 1439, Springer, pp.489–500, Sept. 2021.
     [実験データ]
  4. Sousuke Amasaki, Hirohisa Aman and Tomoyuki Yokogawa,
     “A Preliminary Evaluation of CPDP Approaches on Just-in-Time Software Defect Prediction,”
     Proc. 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA2021), pp.279–286, Sept. 2021.
  5. Tomoya Minehisa, Hirohisa Aman, Tomoyuki Yokogawa and Minoru Kawahara,
     “A Comparative Study of Vectorization Approaches for Detecting Inconsistent Method Names,”
     R. Lee (ed.), Computer and Information Science 2021–Summer, Studies in Computational Intelligence, vol.985, Springer, pp.125–144, June 2021.【Best Student Paper Award 受賞】
  6. Shozo Saeki, Minoru Kawahara and Hirohisa Aman,
     “Significance of Emphasized Features for Good Representation on Deep Metric Learning,”
     Proc. 18th IEEE/ACIS International Virtual Conference on Software Engineering, Management and Applications (SERA 2021), pp.27–32, June 2021.
• ワークショップ^{（査読あり）}
  1. 峯久 朋也，阿萬 裕久，川原 稔，
     “ソースコードの難読化解除手法を活用したメソッド名の整合性評価,”
     名倉正剛，関澤俊弦 編 ソフトウェア工学の基礎 28，pp.81─90, 近代科学社Digital，2021．
     【IEEE Computer Society Japan Chapter FOSE Young Researcher Award 受賞】

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．