Published Papers

2024

• Conference Paper^{（referred）}
  1. Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, and Minoru Kawahara,
     “A Quantitative Investigation of Trends in Confusing Variable Pairs Through Commits: Do Confusing Variable Pairs Survive?,”
     Proc. 28th International Conference on Evaluation and Assessment in Software Engineerg (ESE2024), pp. 90–99, June 2024.
  2. Kaoru Yokogawa, Masashi Hiroishi, Sousuke Amasaki, Hirohisa Aman, and Tomoyuki Yokogawa,
     “A Comparative Study on COSMIC FP approximation with Deep Learning and Conventional　Machine Learning,”
     Proc. 22nd IEEE/ACIS International Conference on Software Engineering, Management and Applications (SERA 2024), pp.xx–xx, May 2024. (to appear)
  3. Pattara Leelaprute, Yuki Kase, Sousuke Amasaki, Hirohisa Aman, and Tomoyuki Yokogawa,
     “A Multi-Aspect Evaluation of DL-based SQLi Attack Detection Models,”
     Proc. 22nd IEEE/ACIS International Conference on Software Engineering, Management and Applications (SERA 2024), pp.xx–xx, May 2024. (to appear)
  4. Yahiro Mori, Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, and Minoru Kawahara,
     “An Application of Program Slicing and CodeBERT to Distill Variables With Inappropriate Names,”
     Proc. 22nd IEEE/ACIS International Conference on Software Engineering, Management and Applications (SERA 2024), pp.xx–xx, May 2024. (to appear)
  5. Shozo Saeki, Minoru Kawahara and Hirohisa Aman,
     “Multi-attribute and Multi-label Deep Metric Learning via Pair-based and Proxy-based Losses,”
     Proc. 7th International Conference on Information and Computer Technologies (ICICT2024), pp.57–63, Mar. 2024.

2023

• Journal Paper^{（referred）}
  1. Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, and Minoru Kawahara,
     “An Automated Detection of Confusing Variable Pairs with Highly Similar Compound Names in Java and Python Programs,”
     Empirical Software Engineering, vol.28, no.5, pp.108:1–108:32, Aug. 2023.
  2. Hideyoshi Miura, Tomotaka Kimura, Hirohisa Aman, Kouji Hirata,
     “Game-theoretic approach to epidemic modeling of countermeasures against future malware evolution,”
     Computer Communications, Vol.206, pp.160–171, June 2023.
  3. Shozo Saeki, Minoru Kawahara, Hirohisa Aman,
     “Multi proxy anchor family loss for several types of gradients,”
     Computer Vision and Image Understanding, Vol.229, 103654:1–103654:9, Mar. 2023.
  4. 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.

• Conference Paper^{（referred）}
  1. Yuki Fushihara, Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, and Minoru Kawahara,
     “A Trend Analysis of Test Smells in Python Test Code Over Commit History,”
     Proc. 49th Euromicro Conference on Software Engineering and Advanced Applications, pp.310–314, Sept.2023.
     [accepted version] [data]
  2. Shinnosuke Irie, Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa and Minoru Kawahara,
     “A Comparative Study of Hybrid Fault-Prone Module Prediction Models Using Association Rule and Random Forest,”
     Proc. 2023 5th World Symposium on Software Engineering (WSSE2023), pp.33–38, Dec. 2023.

2022

• Journal Paper^{（referred）}
  1. Tomoya Minehisa, Hirohisa Aman, and Minoru Kawahara,
     “Naming Bug Detection Using Transformer-Based Method Name Suggestion,” (in Japanese)
     Computer Software (JSSST Journal), 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.
• Conference Paper^{（referred）}
  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] [data]
  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.

2021

• Journal Paper^{（referred）}
  1. Keita Yamanaka, Hirohisa Aman and Minoru Kawahara,
     “An Automated Evaluation of Variable Name Using Program Slicing and Doc2Vec,” (in Japanese)
     Computer Software (JSSST Journal), vol.38, no.4, pp.9–15, Nov. 2021.
• Conference Paper^{（referred）}
  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] [data]
  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.
     [data]
  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>
  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.
• Workshop Paper^{（referred）}
  1. Tomoya Minehisa, Hirohisa Aman and Minoru Kawahara,
     “Consistency Assessment of Method Name Using Source Code Deobfuscation Technique,”
     Foundation of Software Engineering 28，pp.81─90, Kindaikagakusha-Digital，2021．
     <IEEE Computer Society Japan Chapter FOSE Young Researcher Award>

2020

• Journal Paper ^(refereed)

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	Atsuya Miyamoto, Hirohisa Aman and Minoru Kawahara, “A Method For Combining Personalized Bug Prediction Models Toward More Accurate Bug Prediction and Its Evaluation,” (in Japanese) Computer Software (JSSST Journal), 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.

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