Experience Paper: Search-based Testing in Automated Driving Control ApplicationsACM SIGSOFT Distinguished Paper Award
Automated test generation and evaluation in simulation environments is a key technology for verification of automated driving (AD) applications.
Search-based testing (SBT) is an approach for automated test generation that leverages optimization to efficiently generate interesting concrete tests from abstract test descriptions. In this experience paper, we report on our observations after successfully applying SBT to AD control applications in several use cases with different characteristics. Based on our experiences, we derive a number of lessons learned that we consider important for the adoption of \sbt methods and tools in industrial settings. The key lesson is that SBT finds relevant errors and provides valuable feedback to the developers, but requires tool support for writing specifications.
Tue 12 NovDisplayed time zone: Tijuana, Baja California change
10:40 - 12:20 | AI and SEResearch Papers / Journal First Presentations / Demonstrations at Cortez 2&3 Chair(s): Kaiyuan Wang Google, Inc. | ||
10:40 20mTalk | Assessing the Generalizability of code2vec Token Embeddings Research Papers Hong Jin Kang School of Information Systems, Singapore Management University, Tegawendé F. Bissyandé SnT, University of Luxembourg, David Lo Singapore Management University Pre-print | ||
11:00 20mTalk | Multi-Modal Attention Network Learning for Semantic Source Code Retrieval Research Papers Yao Wan Zhejiang University, Jingdong Shu Zhejiang University, Yulei Sui University of Technology Sydney, Australia, Guandong Xu University of Technology, Sydney, Zhou Zhao Zhejiang University, Jian Wu Zhejiang University, philip yu University of Illinois at Chicago | ||
11:20 20mTalk | Experience Paper: Search-based Testing in Automated Driving Control ApplicationsACM SIGSOFT Distinguished Paper Award Research Papers Christoph Gladisch Corporate Research, Robert Bosch GmbH, Thomas Heinz Corporate Research, Robert Bosch GmbH, Christian Heinzemann Corporate Research, Robert Bosch GmbH, Jens Oehlerking Corporate Research, Robert Bosch GmbH, Anne von Vietinghoff Corporate Research, Robert Bosch GmbH, Tim Pfitzer Robert Bosch Automotive Steering GmbH | ||
11:40 20mTalk | Machine Translation-Based Bug Localization Technique for Bridging Lexical Gap Journal First Presentations Yan Xiao Department of Computer Science, City University of Hong Kong, Jacky Keung Department of Computer Science, City University of Hong Kong, Kwabena E. Bennin Blekinge Institute of Technology, SERL Sweden, Qing Mi Department of Computer Science, City University of Hong Kong Link to publication | ||
12:00 10mTalk | AutoFocus: Interpreting Attention-based Neural Networks by Code Perturbation Research Papers Nghi D. Q. Bui Singapore Management University, Singapore, Yijun Yu The Open University, UK, Lingxiao Jiang Singapore Management University Pre-print | ||
12:10 10mDemonstration | A Quantitative Analysis Framework for Recurrent Neural Network Demonstrations Xiaoning Du Nanyang Technological University, Xiaofei Xie Nanyang Technological University, Yi Li Nanyang Technological University, Lei Ma Kyushu University, Yang Liu Nanyang Technological University, Singapore, Jianjun Zhao Kyushu University | ||