APSEC 2024
Tue 3 - Fri 6 December 2024 China
Wed 4 Dec 2024 14:00 - 17:30 at Grand Hall Foyer - Posters

This paper presents EFTD, a novel floating-point error detection method using EFT and stochastic progressive random sampling for multi-input programs. Compared to the state-of-the-art FPGen, EFTD detects higher errors on 13 out of 21 programs with an average detection time of 5 minutes, significantly outperforming FPGen’s 2-hour average.

Wed 4 Dec

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

14:00 - 17:30
14:00
3h30m
Poster
A two-stage approach for GitHub issue links identification and classification (Poster)
ERA - Early Research Achievements
Yingying He Nanjing University of Aeronautics and Astronautics, Wenhua Yang Nanjing University of Aeronautics and Astronautics
14:00
3h30m
Poster
AFLGo_D: A Novel Power Schedule Scheme Considering Multiple Factors Dynamically for Directed Fuzzing (Poster)
Technical Track
Wang Jiaxin , Zhitao He School of Computer Science and Engineering, Beihang University
14:00
3h30m
Poster
MRTCNN: A Lightweight Approach for Predicting Metamorphic Relations (Poster)
Technical Track
Bo Yang Beijing Forestry University, Huai Liu Swinburne University of Technology, Xu Wang North China University of Technology
14:00
3h30m
Poster
Arising Challenges for Assuring Maritime Software Reliability in the AI Era (Poster)
ERA - Early Research Achievements
14:00
3h30m
Poster
Smells of Misunderstanding in File Path Patterns within Dockerignore (Poster)
ERA - Early Research Achievements
Tomoki Nakamaru The University of Tokyo
14:00
3h30m
Poster
Efficient Floating-point Error Detection for Numerical Programs via Error-Free Transformations (Poster)
ERA - Early Research Achievements
Wei Yao Changsha University of Science & Technology, Zhang Jingke National University of Defense Technology;Changsha University of Science & Technology, Xin Yi National University of Defense Technology
14:00
3h30m
Poster
Difference Syntax Trees for Characterising Student in Programming Course (Poster)
ERA - Early Research Achievements
Kouta Aoki National Institute of Technology (KOSEN), Nara College, Hidetake Uwano National Institute of Technology, Nara College, Japan
14:00
3h30m
Poster
CEGen: Cause-Effect Graph Generation Using Large Language Models (Poster)
Technical Track