Software Eng. Group | "Human"-ware Eng. Laboratory | Center for Information Technology, Ehime University
One professor (Prof.Aman), seven graduate students (1 doctor + 7 master) and ten undergraduates belong to this laboratory. We have been studying topics of software engineering, especially, the empirical data-oriented software development management and quality management. We also have been developing research-related tools.
Our undergraduate students (Yuto Kaneko, Shinnosuke Irie, Yahiro Mori, and Yuki Fushihara) made their presentations on their bachelor theses.
Our graduate students (Ryouji Takahashi and Tomoya Minehisa) made their presentations on their master theses.
Our paper “A Comparative Study of Data Collection Periods for Just-In-Time Defect Prediction Using the Automatic Machine Learning Method” was published in the IEICE Transactions on Information and Systems.
Prof. Aman gave an invited talk entitled “Data Science in Software Engineering” at IEE-CMN.
Our paper “A Comparative Study of Data Collection Periods for Just-In-Time Defect Prediction Using the Automatic Machine Learning Method” was accepted for publication in the IEICE Transactions on Information and Systems.The paper will be published in next February.
Our paper “Naming Bug Detection Using Transformer-Based Method Name Suggestion” (in Japanese) was published in Computer Software (JSSST Journal).
Six students (undergraduates, 3rd grade) has joined our laboratory.
Prof. Aman made a presentation about our paper “Have Java Production Methods Co-Evolved With Test Methods Properly?: A Fine-Grained Repository-Based Co-Evolution Analysis” at SEAA2022 in Spain (on behalf of Mr. Kita, a former student)
Our paper “Have Java Production Methods Co-Evolved With Test Methods Properly?: A Fine-Grained Repository-Based Co-Evolution Analysis” was accepted for presenting at the 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA2022).
Our paper “Naming Bug Detection Using Transformer-Based Method Name Suggestion” (in Japanese) was accepted for publishing in JSSST Journal.