Blogs (1) >>
ICSE 2019
Sat 25 - Fri 31 May 2019 Montreal, QC, Canada
Wed 29 May 2019 14:40 - 15:00 at Place du Canada - Test Generation Chair(s): Adam Porter

Autonomous driving carries the promise to drastically reduce car accidents, but recently reported fatal crashes involving self-driving cars suggest that the self-driving car software should be tested more thoroughly. For addressing this need, we propose AC3R (Automatic Crash Constructor from Crash Report) which elaborates police reports to automatically recreate car crashes in a simulated environment that can be used for testing self-driving car software in critical situations. AC3R enables developers to quickly generate relevant test cases from the massive historical dataset of recorded car crashes. We demonstrate how AC3R can generate simulations of different car crashes and report the findings of a large user study which concluded that AC3R simulations are accurate. A video illustrating AC3R in action is available from: https://youtu.be/V708fDG_ux8

Wed 29 May

Displayed time zone: Eastern Time (US & Canada) change

14:00 - 15:30
Test GenerationDemonstrations / Papers / Technical Track / Software Engineering in Practice at Place du Canada
Chair(s): Adam Porter University of Maryland
14:00
20m
Talk
Concolic Testing for High Test Coverage and Reduced Human Effort in Automotive IndustrySEIPIndustry Program
Software Engineering in Practice
Yunho Kim KAIST, Dongju Lee Software Verification Team, Hyundai Mobis, Junki Baek Software Verification Team, Hyundai Mobis, Moonzoo Kim KAIST
14:20
20m
Talk
AsFault: Testing Self-Driving Car Software Using Search-based Procedural Content GenerationDemosIndustry Program
Demonstrations
Alessio Gambi University of Passau, Marc Mueller BeamNG GmbH, Gordon Fraser University of Passau
14:40
20m
Talk
AC3R: Automatically Reconstructing Car Crashes from Police ReportsDemosIndustry Program
Demonstrations
Tri Huynh Saarland University, Alessio Gambi University of Passau, Gordon Fraser University of Passau
15:00
20m
Talk
Automatically Generating Precise Oracles from Structured Natural Language SpecificationsArtifacts AvailableArtifacts Evaluated ReusableTechnical TrackIndustry Program
Technical Track
Manish Motwani University of Massachusetts, Amherst, Yuriy Brun University of Massachusetts Amherst
Link to publication Pre-print
15:20
10m
Talk
Discussion Period
Papers