APSEC 2024
Tue 3 - Fri 6 December 2024 China
VenueRonghui Grand Hotel
Room nameRoom 4 (Xianglin Ballroom)
Floor3
Room InformationNo extra information available
Program

This program is tentative and subject to change.

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Wed 4 Dec

Displayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change

14:00 - 15:30
14:00
30m
Talk
An Empirical Study of Cross-Project Pull Request Recommendation in GitHub
Technical Track
Wenyu Xu national university of defense technology, Yao Lu National University of Defense Technology, Xunhui Zhang National University of Defense Technology, China, Tanghaoran Zhang national university of defense technology, Xinjun Mao National University of Defense Technology, Bo Lin National University of Defense Technology
14:30
30m
Talk
FRELinker: A Novel Issue-Commit Link Recovery Model Based on Feature Refinement and Expansion with Multi-Classifier Fusion
Technical Track
Bangchao Wang Wuhan Textile University, Xinyu He School of Computer Science and Artificial Intelligence, Wuhan Textile University, Hongyan Wan Wuhan Textile University, Xiaoxiao Li School of Computer Science and Artificial Intelligence, Wuhan Textile University, Jiaxu Zhu School of Computer Science and Artificial Intelligence, Wuhan Textile University, Yukun Cao School of Computer Science and Artificial Intelligence, Wuhan Textile University
15:00
20m
Talk
Towards Filtering Out Deficient Pull Requests Collected through the GitHub API
ERA - Early Research Achievements
Bowen Tang Ritsumeikan University, Xiqin Lu Ritsumeikan University, Katsuhisa Maruyama Ritsumeikan University
16:00 - 17:30
16:00
30m
Talk
Automatic Commit Range Identification of Untagged Version
Technical Track
Yan Zhu Zhejiang University, Lingfeng Bao Zhejiang University, Chengjie Chen Zhejiang University, Lexiao Zhang School of Software Technology, Zhejiang University, Xin Yin Zhejiang University, Chao Ni Zhejiang University
16:30
30m
Talk
Classifying Bug Issue Types for Deep Learning-oriented Projects with Pre-Trained Model
Technical Track
Zixuan Zeng School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Yu Zhao , Lina Gong Nanjing University of Aeronautics and Astronautic
17:00
20m
Talk
GHA-BFP: Framework for Automated Build Failure Prediction in GitHub Actions
ERA - Early Research Achievements
Jiatai Li National University of Defense Technology, Yang Zhang National University of Defense Technology, China, Tao Wang National University of Defense Technology, Yiwen Wu National University of Defense Technology

Thu 5 Dec

Displayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change

14:00 - 15:30
14:00
30m
Talk
Enhancing the Transferability of Adversarial Attacks for End-to-End Autonomous Driving Systems
Technical Track
Jingyu Zhang City University of Hong Kong, Jacky Keung City University of Hong Kong, Xiaoxue Ma City University of Hong Kong, Yihan Liao City University of Hong Kong, Yishu Li City University of Hong Kong, Yicheng Sun City University of Hong Kong
14:30
30m
Talk
Enhancing Reentrancy Vulnerability Detection and Repair with a Hybrid Model Framework
Technical Track
Mengliang Li Zhejiang University, Xiaoxue Ren Zhejiang University, Han Fu Zhejiang University, Zhuo Li State Street Technology(Zhejiang) Ltd, JianLing Sun Zhejiang University
15:00
20m
Talk
BugsInKube: A Collection of Reconciliation Bugs
ERA - Early Research Achievements
Kabilan Mahathevan University of Moratuwa, Sivakajan Sivaparan University of Moratuwa, Tharsha Sivapalarajah University of Moratuwa, Sunimal Rathnayake University of Moratuwa, Ridwan Salihin Shariffdeen National University of Singapore
16:00 - 17:30
16:00
30m
Talk
On the Relative Value of Feature Selection Techniques for Code Smell Detection
Technical Track
Zexian Zhang Wuhan University of Technology, Shuang Yin Wuhan University of Technology, Lin Zhu Wuhan University of Technology, Shan Gao Hokkaido University, Haoxuan Chen Wuhan University of Technology, Wenhua Hu Wuhan University of Technology, Fuyang Li Wuhan University of Technology
16:30
30m
Talk
An Empirical Study on Self-Admitted Technical Debt in Quantum Software
Technical Track
Yuta Ishimoto Kyushu University, Yuto Nakamura Kyushu University, Ryota Katsube Hitachi, Ltd., Naoto Sato Research & Development Group, Hitachi, Ltd., Hideto Ogawa Hitachi Ltd., Masanari Kondo Kyushu University, Yasutaka Kamei Kyushu University, Naoyasu Ubayashi Kyushu University
17:00
30m
Talk
Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt
Technical Track
Edi Sutoyo Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Paris Avgeriou University of Groningen, The Netherlands, Andrea Capiluppi University of Groningen

Tue 3 Dec

Displayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change

Room9:003010:003011:003012:003013:003014:003015:003016:003017:0030
Room 4 (Xianglin Ballroom)

Thu 5 Dec

Displayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change