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ICST 2020
Sat 24 - Wed 28 October 2020 Porto, Portugal

Robotic systems are increasingly a part of everyday life. Characteristics of robotic systems such as interaction with the physical world, and integration of hardware and software components, differentiate robotic systems from conventional software systems. Although numerous studies have investigated the challenges of software testing in practice, no such study has focused on testing of robotic systems. In this paper, we conduct a qualitative study to better understand the testing practices used by the robotics community, and identify the challenges faced by practitioners when testing their systems. We identify a total of 12 testing practices and 9 testing challenges from our participants’ responses. We group these challenges into 3 major themes: Real-world complexities, Community and standards, and Component integration. We believe that further research on addressing challenges described with these three major themes can result in higher adoption of robotics testing practices, more testing automation, and higher-quality robotic systems.

This program is tentative and subject to change.

Sun 25 Oct

14:00 - 15:30: Research Papers - RT3 - Testing Deep Learning and Robotic Systems at Farfetch (D. Maria)
icst-2020-papers14:00 - 14:30
Gunel JahangirovaUniversità della Svizzera Italiana (USI), Paolo TonellaUniversità della Svizzera Italiana (USI)
icst-2020-papers14:30 - 15:00
Fitash Ul HaqUniversity of Luxembourg, Donghwan ShinKAIST, 291 Daehak-ro Yuseong-gu, Shiva NejatiUniversity of Luxembourg, Lionel BriandUniversity of Luxembourg, University of Ottawa
icst-2020-papers15:00 - 15:30
Afsoon AfzalCarnegie Mellon University, Claire Le GouesCarnegie Mellon University, Michael HiltonCarnegie Mellon University, USA, Christopher Steven TimperleyCarnegie Mellon University