Internetware 2023 (series) / Main Track /
DRIFT: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning
Sun 6 Aug 2023 14:15 - 14:30 at Main Conference Room - Session 6: Testing
Sun 6 AugDisplayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change
Sun 6 Aug
Displayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change
13:30 - 14:40 | |||
13:30 15mResearch paper | Prioritizing Testing Instances to Enhance the Robustness of Object Detection Systems Main Track Shihao Weng Nanjing University, Yang Feng Nanjing University, Yining Yin Nanjing University, China, Jia Liu Nanjing University | ||
13:45 15mResearch paper | Practical Accuracy Evaluation for Deep Learning Systems via Latent Representation Discrepancy Main Track Yining Yin Nanjing University, China, Yang Feng Nanjing University, Zixi Liu Nanjing University, Zhihong Zhao | ||
14:00 15mResearch paper | An Empirical Study on AST-level mutation-based fuzzing techniques for JavaScript Engines Main Track Song Tang College of Intelligence and Computing, Tianjin University, Shuang Liu Tianjin University, Junjie Wang College of Intelligence and Computing, Tianjin University, Xiangwei Zhang College of Intelligence and Computing, Tianjin University | ||
14:15 15mResearch paper | DRIFT: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning Main Track Lei Liu , Sinan Wang , Yepang Liu Southern University of Science and Technology, Jinliang Deng , Sicen Liu | ||