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.
SEAA2020
Prof. Aman made his presentation at The 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA2020).
Paper acceptance (JSSST Journal)
Our paper “A Method For Combining Personalized Bug Prediction Models Toward More Accurate Bug Prediction and Its Evaluation” (in Japanese) was accepted for publication in Computer Software (JSSST Journal).
Journal paper publication (Journal of Software)
Our paper “Empirical Study of Abnormality in Local Variables and Its Application to Fault‐Prone Java Method Analysis,” was published in Journal of Software: Evolution and Process.
FORCE2019
Takuya Kawakami and Masanao Asato (our graduate school students) made their presentations at the SEA FORCE (Forum On Reliability of Computer softwarE) 15th workshop.
Best Reviewer Award (APSEC2019)
Prof. Aman received the Best Reviewer Award at APSEC2019.
QuASoQ2019
Prof. Aman made his presentation at The 7th International Workshop on Quantitative Approaches to Software Quality (QuASoQ2019).
IEEE Computer Society Japan Chapter FOSE Young Researcher Award 2019
Atsuya Miyamoto (our master course student) was awarded IEEE Computer Society Japan Chapter FOSE Young Researcher Award 2019.
Paper presentation (FOSE2019)
Atsuya Miyamoto (our master course student) made his presentation at JSSST FOSE2019, and Keita Yamanaka (our master course student) did his poster presntation.
Journal paper publication (JSSST journal)
Our paper “A Proposal of Data Dependence-Based Metrics for Evaluating Fault Injection Risk” (in Japanese) was published in Computer Software (JSSST Journal).
Paper acceptance (QuASoQ2019)
Out paper “Empirical Study of Fault Introduction Focusing on the Similarity among Local Variable Names” was accepted for a presentation at The 7th International Workshop on Quantitative Approaches to Software Quality (QuASoQ2019)