BMT: behavior driven development-based metamorphic testing for autonomous driving models

Yao Deng, Guannan Lou, Xi Zheng*, Tianyi Zhang, Miryung Kim, Huai Liu, Chen Wang, Tsong Yueh Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

Deep Neural Network based models are widely used for perception and control in autonomous driving. Recent work leverages metamorphic testing to improve defect detection but is limited to using only an equality-based metamorphic relation. Thus, it does not provide sufficient expressiveness for users to define custom metamorphic relations nor means to automatically generate meaningful inputs based on such expressive metamorphic relations that reflect real-world traffic behaviors. In this paper, we preliminarily design and evaluate a declarative Behaviour-Driven Development (BDD)-based metamorphic testing framework BMT, which enables domain experts to specify custom traffic behaviors—a car shall decelerate by x% when a bicycle is in front, etc. It then automatically translates a human-written behavior to a corresponding metamorphic relation and synthesizes meaningful test inputs using a variety of image and graphics processing techniques. Our preliminary evaluation shows that BMT can detect a significant number of erroneous predictions of three driving models for speed predictions. These detected erroneous predictions are manually examined and confirmed by six human judges as meaningful traffic violations. By automating test generation from custom behaviors, BMT enables experts to easily express domain-specific constraints and finds violations of such constraints.
Original languageEnglish
Title of host publicationProceedings - 2021 IEEE/ACM 6th International Workshop on Metamorphic Testing
Place of PublicationLos Alamitos, California
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages32-36
Number of pages5
ISBN (Electronic)9781665444644
DOIs
Publication statusPublished - 2021
Event2021 IEEE/ACM 6th International Workshop on Metamorphic Testing - Virtual, Madrid, Spain
Duration: 22 May 202130 May 2021

Conference

Conference2021 IEEE/ACM 6th International Workshop on Metamorphic Testing
Abbreviated titleMET 2021
CountrySpain
CityMadrid
Period22/05/2130/05/21

Keywords

  • Metamorphic Testing
  • Autonomous Driving
  • Deep Learning Models
  • Software Testing and Verification

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