ICSE 2024
Fri 12 - Sun 21 April 2024 Lisbon, Portugal
Thu 18 Apr 2024 14:15 - 14:30 at Luis de Freitas Branco - Analysis 2 Chair(s): Luís Cruz

The rapid progress of autonomous vehicles~(AVs) has brought the prospect of a driverless future closer than ever. Recent fatalities, however, have emphasized the importance of safety validation through large-scale testing. Multiple approaches achieve this fully automatically using high-fidelity simulators, i.e., by generating diverse driving scenarios and evaluating autonomous driving systems~(ADSs) against different test oracles. While effective at finding violations, these approaches do not identify the decisions and actions that \emph{caused} them—information that is critical for improving the safety of ADSs. To address this challenge, we propose ACAV, an automated framework designed to conduct causality analysis for AV accident recordings in two stages. First, we apply feature extraction schemas based on the messages exchanged between ADS modules, and use a weighted voting method to discard frames of the recording unrelated to the accident. Second, we use safety specifications to identify safety-critical frames and deduce causal events by applying CAT—our causal analysis tool—to a station-time graph. We evaluate ACAV on the Apollo ADS, finding that it can identify five distinct types of causal events in 93.64% of 110 accident recordings generated by an AV testing engine. We further evaluated ACAV on 1206 accident recordings collected from versions of Apollo injected with specific faults, finding that it can correctly identify causal events in 96.44% of the accidents triggered by prediction errors, and 85.73% of the accidents triggered by planning errors.

Thu 18 Apr

Displayed time zone: Lisbon change

14:00 - 15:30
14:00
15m
Talk
RogueOne: Detecting Rogue Updates via Differential Data-flow Analysis Using Trust Domains
Research Track
Raphael J. Sofaer Columbia University, Yaniv David Columbia University, Mingqing Kang Johns Hopkins University, Jianjia Yu Johns Hopkins University, Yinzhi Cao Johns Hopkins University, Junfeng Yang Columbia University, Jason Nieh Columbia University
DOI Pre-print
14:15
15m
Talk
ACAV: A Framework for Automatic Causality Analysis in Autonomous Vehicle Accident Recordings
Research Track
Huijia Sun ShanghaiTech University, China, Chris Poskitt Singapore Management University, Yang Sun Singapore Management University, Jun Sun Singapore Management University, Yuqi Chen ShanghaiTech University, China
Pre-print
14:30
15m
Talk
Efficiently Trimming the Fat: Streamlining Software Dependencies with Java Reflection and Dependency Analysis
Research Track
Xiaohu Song Northeastern University, Ying Wang Northeastern University, Xiao Cheng Huawei Technologies Co., Ltd., Guangtai Liang Huawei Cloud Computing Technologies, Qianxiang Wang Huawei Technologies Co., Ltd, Zhiliang Zhu Northeastern University, China
14:45
7m
Talk
Probabilistic Safe WCET Estimation for Weakly Hard Real-Time Systems at Design Stages
Journal-first Papers
Jaekwon Lee University of Ottawa & University of Luxembourg, Seung Yeob Shin University of Luxembourg, Lionel Briand University of Ottawa, Canada; Lero centre, University of Limerick, Ireland, Shiva Nejati University of Ottawa
14:52
7m
Talk
Are automated static analysis tools worth it? An investigation into relative warning density and external software quality on the example of Apache open source projects
Journal-first Papers
Alexander Trautsch University of Passau, Steffen Herbold University of Passau, Jens Grabowski University of Göttingen
14:59
7m
Talk
Actor-driven Decomposition of Microservices through Multi-level Scalability Assessment
Journal-first Papers
Carmine Colarusso University of Sannio, Benevento, Matteo Camilli Politecnico di Milano, Barbara Russo , Eugenio Zimeo University of Sannio, Benevento
15:06
7m
Talk
TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools
Demonstrations
Ashwin Prasad Shivarpatna Venkatesh University of Paderborn, Samkutty Sabu University of Paderborn, Jiawei Wang Monash University, Amir Mir Delft University of Technology, Li Li Beihang University, Eric Bodden
15:13
7m
Talk
Toward Adaptive Tracing: Efficient System Behavior Analysis using Language Models
New Ideas and Emerging Results
Kasra Darvishi Brock University, Morteza Noferesti Brock University, Naser Ezzati Jivan
Link to publication