Issue Categorization and Analysis of an Open-Source Driving Assistant System

Shuncheng Tang, Zhenya Zhang, Jia Tang, Lei Ma, Yinxing Xue

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Autonomous driving system (ADS) has attracted great much attention from both academia and industry in recent years. Since these systems are safety-critical, assurance of their safety and reliability is of great significance. Research efforts have been paid to Level-4 ADS systems to understand their safety concerns and vulnerabilities; however, no progress has been made in Level-2 systems, though they have been deployed more widely. In this work, we focus on an open-source Level-2 driver assistant system, namely, OPENPILOT, and perform an empirical study on the issues raised by developers and users in the developers' communities. We first overview and introduce the logical architecture of OPENPILOT; then, we present our methodologies of collecting pull requests and issues from two developers' communities; as a result, we collect 1293 pull requests, 694 issues, and then we classify them into 5 categories; lastly, we discuss on the strengths and weaknesses of OPENPILOT and the future directions, based on the collected issues. Our work is the first attempt to perform a comprehensive study on the issue analysis for OPENPILOT, and it also motivates more future studies on the systematic testing and analysis of these systems.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages148-153
Number of pages6
ISBN (Electronic)9781665426039
DOIs
Publication statusPublished - 2021
Event32nd IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2021 - Wuhan, China
Duration: Oct 25 2021Oct 28 2021

Publication series

NameProceedings - 2021 IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2021

Conference

Conference32nd IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2021
Country/TerritoryChina
CityWuhan
Period10/25/2110/28/21

All Science Journal Classification (ASJC) codes

  • Software
  • Safety, Risk, Reliability and Quality

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