Events by date

Candidate

Thibaud Lutellier

Title

Comparing Software Architecture Recovery Techniques Using Accurate Dependencies

Supervisor

Lin Tan

Abstract

Many techniques have been proposed to automatically recover software architectures from software implementations. A thorough comparison among the recovery techniques is needed to understand their effectiveness and applicability. This study improves on previous studies in two ways.

Candidate

Ming Tan

Title

Online Defect Prediction for Imbalanced Data

Supervisor

Lin Tan

Abstract

Many defect prediction techniques are proposed to improve software reliability. Change classification predicts defects at the change level, where a change is the modifications to one file in a commit. In this thesis, we conduct the first study of applying change classification in practice and share the lessons we learned.