Blogs (1) >>
ASE 2019
Sun 10 - Fri 15 November 2019 San Diego, California, United States
Tue 12 Nov 2019 11:20 - 11:40 at Cortez 2&3 - AI and SE Chair(s): Kaiyuan Wang

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 Nov

10:40 - 12:20: Papers - AI and SE at Cortez 2&3
Chair(s): Kaiyuan WangGoogle, Inc.
ase-2019-papers10:40 - 11:00
Assessing the Generalizability of code2vec Token Embeddings
Kang Hong JinSchool of Information Systems, Singapore Management University, Tegawendé F. BissyandéSnT, University of Luxembourg, David LoSingapore Management University
ase-2019-papers11:00 - 11:20
Multi-Modal Attention Network Learning for Semantic Source Code Retrieval
Yao WanZhejiang University, Jingdong ShuZhejiang University, Yulei SuiUniversity of Technology Sydney, Australia, Guandong XuUniversity of Technology, Sydney, Zhou ZhaoZhejiang University, Jian WuZhejiang University, philip yuUniversity of Illinois at Chicago
ase-2019-papers11:20 - 11:40
Experience Paper: Search-based Testing in Automated Driving Control ApplicationsACM SIGSOFT Distinguished Paper Award
Christoph GladischCorporate Research, Robert Bosch GmbH, Thomas HeinzCorporate Research, Robert Bosch GmbH, Christian HeinzemannCorporate Research, Robert Bosch GmbH, Jens OehlerkingCorporate Research, Robert Bosch GmbH, Anne von VietinghoffCorporate Research, Robert Bosch GmbH, Tim PfitzerRobert Bosch Automotive Steering GmbH
ase-2019-Journal-First-Presentations11:40 - 12:00
Machine Translation-Based Bug Localization Technique for Bridging Lexical Gap
Yan XiaoDepartment of Computer Science, City University of Hong Kong, Jacky KeungDepartment of Computer Science, City University of Hong Kong, Kwabena E. BenninBlekinge Institute of Technology, SERL Sweden, Qing MiDepartment of Computer Science, City University of Hong Kong
Link to publication
ase-2019-papers12:00 - 12:10
AutoFocus: Interpreting Attention-based Neural Networks by Code Perturbation
Nghi Duy Quoc BuiSingapore Management University, Singapore, Yijun YuThe Open University, UK, Lingxiao JiangSingapore Management University
ase-2019-Demonstrations12:10 - 12:20
A Quantitative Analysis Framework for Recurrent Neural Network
Xiaoning DuNanyang Technological University, Xiaofei XieNanyang Technological University, Yi LiNanyang Technological University, Lei MaKyushu University, Yang LiuNanyang Technological University, Singapore, Jianjun ZhaoKyushu University