Technical Research: Defect Prediction
Wednesday May 18, 4:00 pm - 5:30 pm
Session Chair: Pete Rotella
Room: Glass Oaks
04:00 - 04:20 PM ― Automatically Learning Semantic Features for Defect Prediction
- Song Wang, Electrical and Computer Engineering , University of Waterloo, Canada
- Taiyue Liu, Electrical and Computer Engineering , University of Waterloo, Canada
- Lin Tan, Electrical and Computer Engineering , University of Waterloo, Canada
04:20 - 04:40 PM ― Cross-project Defect Prediction Using a Connectivity-based Unsupervised Classifier
- Feng Zhang, School of Computing, Queen's University, Canada
- Quan Zheng, School of Computing, Queen's University, Canada
- Ying Zou, Department of Electrical and Computer Engineering, Queen's University, Canada
- Ahmed E. Hassan, School of Computing, Queen's University, Canada
04:40 - 05:00 PM ― Automated Parameter Optimization of Classification Techniques for Defect Prediction Models
- Chakkrit Tantithamthavorn, Nara Institute of Science and Technology, Japan
- Shane McIntosh, McGill University, Canada
- Ahmed E. Hassan, Queen's Unversity, Canada
- Kenichi Matsumoto, Nara Institute of Science and Technology, Japan
05:00 - 05:20 PM ― AntMiner: Mining More Bugs by Reducing Noise Interference
- Bin Liang, Renmin University of China, China
- Pan Bian, Renmin University of China, China
- Yan Zhang, Renmin University of China, China
- Wenchang Shi, Renmin University of China, China
- Wei You, Renmin University of China, China
- Yan Cai, Institute of Software Chinese Academy of Sciences, China
