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J-GLOBAL ID：201801004443818441 Update date: Mar. 21, 2025

Amasaki Sousuke

Affiliation and department：

Research field (1)： Software

Research keywords (1)： Software Engineering

Research theme for competitive and other funds (13)：

2023 - 2026 Improving QA/QC process for video game development based on automatic verification of node graphs
2021 - 2024 開発者に依存しやすい品質特性の定量的分析と自動評価法の開発
2021 - 2024 新たな領域に踏み出すソフトウェア開発組織のための予測・見積もりモデル
2018 - 2022 プロジェクトデータ資産を積極的に活用する工数見積もりモデルに関する研究
2019 - 2020 ソフトウェア不具合箇所の自動特定技術の詳細化に関する研究

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Papers (113)：

Takashi Kitamura, Sousuke Amasaki, Jun Inoue, Yoshinao Isobe, Takahisa Toda. Toward Individual Fairness Testing with Data Validity. Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering. 2024. 2284-2288
Sousuke Amasaki, Pattara Leelaprute, Hirohisa Aman, Tomoyuki Yokogawa. Exploring Benefits of Bellwether Projects in Cross-Project IR-based Fault Localization. Proc. 50th Euromicro Conference on Software Engineering and Advanced Applications. 2024. 214-221
Yuki Fushihara, Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara. Fault-Proneness of Python Programs Tested By Smelled Test Code. Proc. 50th Euromicro Conference on Software Engineering and Advanced Applications. 2024. 373-378
Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara. A Quantitative Investigation of Trends in Confusing Variable Pairs Through Commits: Do Confusing Variable Pairs Survive?. Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering. 2024. 90-99
天㟢聡介, 廣石将士. ユースケースからCOSMIC法による機能規模を概算する深層学習手法の性能評価. ソフトウェア・シンポジウム2024論文集. 2024. 9-14

MISC (18)：

崔恩瀞, 天嵜聡介, 猿渡真之介, 瀬村雄一, 松原百映. 第24回アジア太平洋ソフトウェア工学国際会議(APSEC 2017)参加報告. 研究報告ソフトウェア工学(SE). 2018. 2018-SE-198. 39. 1-4
Product-Focused Software Process Improvement - 17th International Conference, PROFES 2016, Trondheim, Norway, November 22-24, 2016, Proceedings. PROFES 2016. 2016. 10027
Pekka Abrahamsson, Andreas Jedlitschka, Anh Nguyen Duc, Michael Felderer, Sousuke Amasaki, Tommi Mikkonen. Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2016. 10027 LNCS
Kazuya Kawata, Sousuke Amasaki, Tomoyuki Yokogawa. Improving Relevancy Filter Methods for Cross-Project Defect Prediction. 3RD INTERNATIONAL CONFERENCE ON APPLIED COMPUTING AND INFORMATION TECHNOLOGY (ACIT 2015) 2ND INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND INTELLIGENCE (CSI 2015). 2015. 2-7
井上雄太, 天嵜聡介. 回帰木に基づいた工数見積もりモデルにおけるMoving Window 法の有効性について. ソフトウェアシンポジウム 2013 論文集. 2013. 1-10

Books (1)：

Lectures and oral presentations (51)：

Formal Verification for Node-graph Style Game Scripts with Time Constraints Using Model Checking
(情報処理学会研究報告(Web) 2024)
Development and Evaluation of Visual Modelling Environment for Model Checking
(情報処理学会研究報告(Web) 2024)
異粒度情報の統合に基づく細粒度Bug Localization
(電子情報通信学会技術研究報告(Web) 2024)
モジュール粒度の違いがBug Localization手法へ与える影響の調査
(ソフトウェアエンジニアリングシンポジウム2023論文集 2023)
リポジトリ変換によるBug Localization手法の細粒度化とその評価
(電子情報通信学会技術研究報告(Web) 2022)

Professional career (1)：

Work history (4)：

2021/04 - 現在 Okayama Prefectural University Computer Science and Systems Engineering Department of System Engineering Associate Professor
2008/07 - 2021/03 Okayama Prefectural University Computer Science and Systems Engineering Department of System Engineering
2007/04 - 2008/06 Tottori University of Environmental Studies Faculty of Environmental and Information Studies
2006/04 - 2007/03 Tottori University of Environmental Studies Faculty of Environmental and Information Studies

Committee career (9)：

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Awards (11)：

2024/04 - 情報処理学会情報処理学会論文誌ジャーナル特選論文情報検索を用いたBug Localization手法にモジュール粒度の違いが与える影響
2023/08 - 情報処理学会ソフトウェア工学研究会卓越研究賞
2022/09 - 情報処理学会ソフトウェア工学研究会卓越研究賞
2020/11 - International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE) Best Paper Award An Exploratory Study on Applicability of Cross Project Defect Prediction Approaches to Cross-Company Effort Estimation
2018/10 - International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE) Best Paper Award Cross-Version Defect Prediction using Cross-Project Defect Prediction Approaches: Does it work?

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Association Membership(s) (3)：

IEEE Computer Society , Association for Computing Machinery , INFORMATION PROCESSING SOCIETY OF JAPAN

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