An Exploratory Investigation of Log Anomalies in Unmanned Aerial Vehicles
Abstract
Unmanned aerial vehicles (UAVs) are becoming increasingly ubiquitous in our daily lives. However, like many other complex systems, UAVs are susceptible to software bugs that can lead to abnormal system behaviors and undesirable consequences. It is crucial to study such software bug-induced UAV anomalies, which are often manifested in flight logs, to help assure the quality and safety of UAV systems. However, there has been limited research on investigating the code-level patterns of software bug-induced UAV anomalies. This impedes the development of effective tools for diagnosing and localizing bugs within UAV system code.
BibTeX
@inproceedings{Wang-al:ICSE24,
author = {Dinghua Wang and
Shuqing Li and
Guanping Xiao and
Yepang Liu and
Yulei Sui and
Pinjia He and
Michael R. Lyu},
title = {An Exploratory Investigation of Log Anomalies in Unmanned Aerial Vehicles},
booktitle = {ICSE},
pages = {210:1--210:13},
publisher = {{ACM}},
year = {2024},
}