Prof. Washizaki was delighted to deliver his message at the inauguration session of IEEE GITAM University Bangalore Student Branch. Congrats on active ongoing activities since its establishment!
カテゴリー別アーカイブ: 未分類
Prof. Washizaki was delighted to deliver his message at the inauguration of the Student Branch Chapter and the IEEE-CS Day at KPRIET on Software Testing
Prof. Washizaki was delighted to deliver his message at the inauguration of the Student Branch Chapter and the IEEE-CS Day at KPRIET on Software Testing. Congrats on launching the chapter!
鷲崎教授がSQiP Best Paper Effective Award 2024受賞
小室睦, 鷲崎弘宜, SQiP Best Paper Effective Award, ソフトウェア品質シンポジウム2024(SQiPシンポジウム)(“ソフトウェアプロセス改善を組織的,実証的にすすめるためのデータ分析パターン言語の提案” に対して), 2024
月刊「文藝春秋」2024年10月号に鷲崎教授のインタビュー掲載
月刊「文藝春秋」2024年10月号に鷲崎教授のIEEE-CS会長就任やAI研究に関するインタビュー記事が、企画「総力取材 看板教授の早慶戦」の一環として掲載されました。ぜひご覧ください。
- 文藝春秋, 企画「総力取材 看板教授の早慶戦」, 2024年10月号(鷲崎教授のインタビュー掲載)
An Empirical Study on Predicting Software Development Bugs Using Dynamic Bayesian Networks, accepted for IWSF and SHIFT 2024
Kiyoshi Honda, Hironori Washizaki, Yoshiaki Fukazawa, Masahiro Taga, Akira Matsuzaki, Kazuyuki Nakagawa and Yusuke Sakai, “An Empirical Study on Predicting Software Development Bugs Using Dynamic Bayesian Networks,” pp. 1-4, The 8th International Workshop on Software Faults (IWSF) and The 6th Annual International Workshop on Software Hardware Interaction Faults (SHIFT), Co-located with the 35h International Symposium on Software Reliability Engineering (ISSRE 2024), October 28th, 2024, Tsukuba, Japan.
Two papers accepted for 1st International Workshop on Patterns and Practices of Reliable AI Engineering and Governance (AI-Pattern ’24)
Takumi Ayukawa, Jati H. Husen, Nobukazu Yoshioka, Hironori Washizaki, Naoyasu Ubayashi, “Toward Pattern-Oriented Machine Learning Reliability Argumentation,” 1st International Workshop on Patterns and Practices of Reliable AI Engineering and Governance (AI-Pattern ’24), pp. 1-2, Tsukuba, Japan, October 28th – 31st, 2024.
Sho Isogai, Shinpei Ogata, Yutaro Kashiwa, Satoshi Yazawa, Kozo Okano, Takao Okubo and Hironori Washizaki, “Toward Extracting Learning Pattern: A Comparative Study of GPT-4o-mini and BERT Models in Predicting CVSS Base Vectors,” 1st International Workshop on Patterns and Practices of Reliable AI Engineering and Governance (AI-Pattern ’24), pp. 1-8, Tsukuba, Japan, October 28th – 31st, 2024.
Prof. Washizaki provided his keynote at AIESE 2024, and was honored to receive an award
Prof. Washizaki was invited to AIESE 2024 (International Conference on AI-Enpowered Software Engineering, formerly known as JCKBSE) to provide a keynote titled “Machine Learning Software Engineering based on Multi-view Modeling with Patterns and MLOps” at the University of Piraeus, Greece. Prof. Washizaki also had a chance to join a roundtable on ethics and AI. Thanks to Prof. Maria Virvou, Prof. George Tsihrintzis, and all organizers and attendees, Prof. Washizaki was honored to receive an Award from the university’s department. Furthermore, Prof. Washizaki met the passionate and engaged IEEE chapter students.
ソフトウェアエンジニアリングシンポジウム2024 (SES2024)にて3件のポスター発表予定
高木 陽平, 鷲崎 弘宜, 吉岡 信和, 鵜林 尚靖, “振る舞い駆動開発の結合テスト工程への適用”, ソフトウェアエンジニアリングシンポジウム2024 (SES2024), ポスター, 慶應義塾大学日吉キャンパス, 2024年9月17日(火)~9月19日(木)
藤原 雄矢, 土田 拓将, 宮田 陸歩, 鷲崎 弘宜, 鵜林 尚靖, “LLMによるAIシステムの脅威への緩和策自動生成”, ソフトウェアエンジニアリングシンポジウム2024 (SES2024), ポスター, 慶應義塾大学日吉キャンパス, 2024年9月17日(火)~9月19日(木)
Sien Reeve O. Peralta, Hironori Washizaki, Yoshiaki Fukawaza, Yuki Noyori, Shuhei Nojiri, Hideyuki Kanuka, “Exploring Bug Fixing Time through Causal and Preliminary Topic Analysis”, ソフトウェアエンジニアリングシンポジウム2024 (SES2024), ポスター, 慶應義塾大学日吉キャンパス, 2024年9月17日(火)~9月19日(木)
n-Pipeline Log Anomaly Detection Drift Mitigation, accepted for IEEE ISSRE 2024 Fast Track
Scott Lupton, Hironori Washizaki, Naoyasu Ubayashi and Nobukazu Yoshioka, “n-Pipeline Log Anomaly Detection Drift Mitigation,” 35th IEEE International Symposium on Software Reliability Engineering (ISSRE 2024), Fast Track, pp. 1-2, Tsukuba, Japan, October 28th – 31st, 2024.
Pattern Application Support Framework in Machine Learning Reliability Solution Patterns, accepted for PLoP 2024
Takumi Ayukawa, Jati H. Husen, Nobukazu Yoshioka, Hironori Washizaki, Naoyasu Ubayashi, “Pattern Application Support Framework in Machine Learning Reliability Solution Patterns,” 31st International Conference on Pattern Languages of Programs, People & Practices (PLoP 2024), pp. 1-14, Columbia River Gorge, Washington USA, October 13-16, 2024.