論文

• Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki. Supporting Proactive Refactoring: An Exploratory Study on Decaying Modules and Their Prediction, IEICE Transactions on Information and Systems, Vol. E104-D, No. 10, pp. 1601-1615, Oct. 2021.
• Aoi Takahashi, Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki. An Extensive Study on Smell-Aware Bug Localization, Journal of Systems and Software, Vol. 178, 110986, pp. 1-17, Aug. 2021.
• 高橋 碧, セーリム ナッタウット, 林 晋平, 佐伯 元司. 情報検索に基づくBug Localizationへの不吉な臭いの利用, 情報処理学会論文誌, Vol. 60, No. 4, pp. 1040-1050, Apr. 2019.
• Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki. An Investigative Study on How Developers Filter and Prioritize Code Smells, IEICE Transactions on Information and Systems, Vol. E101-D, No. 7, pp. 1733-1742, July 2018.
• Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki. Context-Based Approach to Prioritize Code Smells for Prefactoring, Journal of Software: Evolution and Process, Vol. 30, No. 6:e1886, pp. 1-24, July 2018.

国際会議発表 (査読有り)

• Aoi Takahashi, Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki. An Extensive Study on Smell-Aware Bug Localization, 36th IEEE/ACM International Conference on Automated Software Engineering (ASE 2021), Nov. 2021.
• Aoi Takahashi, Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki. Investigating Effective Usages of Code Smell Information for Bug Localization, 10th International Workshop on Empirical Software Engineering in Practice, Dec. 2019.
• Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki. Can Automated Impact Analysis Techniques Help Predict Decaying Modules?, Proceedings of the 35th IEEE International Conference on Software Maintenance and Evolution (ICSME 2019), pp. 541-545, Oct. 2019.
• Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki. Toward Proactive Refactoring: An Exploratory Study on Decaying Modules, Proceedings of the 3rd International Workshop on Refactoring (IWoR 2019), pp. 39-46, May 2019.
• Aoi Takahashi, Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki. A Preliminary Study on Using Code Smells to Improve Bug Localization, Proceedings of the 26th IEEE/ACM International Conference on Program Comprehension (ICPC 2018), pp. 324-327, May 2018.
• Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki. How Do Developers Select and Prioritize Code Smells? A Preliminary Study, Proceedings of the 33rd IEEE International Conference on Software Maintenance and Evolution (ICSME 2017), pp. 484-488, Sept. 2017.
• Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki. Revisiting Context-Based Code Smells Prioritization: On Supporting Referred Context, Proceedings of the XP 2017 Scientific Workshops (MTD 2017), no. 3, pp. 1-5, May 2017.
• Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki. Context-Based Code Smells Prioritization for Prefactoring, Proceedings of the 24th International Conference on Program Comprehension (ICPC 2016), pp. 1-10, May 2016.

国内会議発表 (査読有り)

• 高橋 碧, セーリム ナッタウット, 林 晋平, 佐伯 元司. 情報検索に基づくBug Localizationに不吉な臭いが与える影響の調査, ソフトウェアエンジニアリングシンポジウム2018, Sept. 2018.

国内会議発表 (査読なし・不明)

• 高橋 碧, Sae-Lim Natthawute, 林 晋平, 佐伯 元司. 不吉な臭いを利用したBug Localization, ソフトウェアエンジニアリングシンポジウム2022, Sept. 2022.
• 筒井 湧暉, セーリム ナッタウット, 林 晋平, 佐伯 元司. 探索に基づくローカルリファクタリングの検出, 情報処理学会研究報告, Vol. 2020-SE-204, No. 4, pp. 1-8, Mar. 2020.
• 高橋 碧, セーリム ナッタウット, 林 晋平, 佐伯 元司. Bug Localizationに対して不吉な臭いを使用する有用性の解明, 電子情報通信学会技術研究報告, vol. 119, no. 246, pp. 1-6, Oct. 2019.
• 高橋 碧, セーリム ナッタウット, 林 晋平, 佐伯 元司. 情報検索に基づくBug Localizationへの不吉な臭いの利用, ソフトウェアエンジニアリングシンポジウム2019, Aug. 2019.
• 高橋 碧, セーリム ナッタウット, 林 晋平, 佐伯 元司. 情報検索に基づくBug Localizationへの不吉な臭いの深刻度の利用, 情報処理学会研究報告, Vol. 2018-SE-198, No. 16, pp. 1-8, Mar. 2018.
• セーリム ナッタウット, 林 晋平, 佐伯 元司. プレファクタリングのための不吉な臭いの検出結果の優先順位付け, 電子情報通信学会技術研究報告, Vol. 115, No. 153, pp. 33-38, July 2015.

学位論文

• Supporting Reactive and Proactive Source Code Refactoring: A Context-Based Approach,  Thesis,  Doctor (Academic),  Tokyo Institute of Technology,  2019/09/20,   
• Supporting Reactive and Proactive Source Code Refactoring: A Context-Based Approach,  Summary,  Doctor (Academic),  Tokyo Institute of Technology,  2019/09/20,   
• Supporting Reactive and Proactive Source Code Refactoring: A Context-Based Approach,  Exam Summary,  Doctor (Academic),  Tokyo Institute of Technology,  2019/09/20,   

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