FIGCPS: Effective failure-inducing input generation for cyber-physical systems with deep reinforcement learning

• Main Authors: ZHANG, Shaohua, LIU, Shuang, SUN, Jun, CHEN, Yuqi, HUANG, Wenzhi, LIU, Jinyi, LIU, Jian, HAO, Jianye
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Test Case Generation; CPS; Deep Reinforcement Learning; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/6221; https://ink.library.smu.edu.sg/context/sis_research/article/7224/viewcontent/033700a555.pdf
• Institution: Singapore Management University

Cyber-Physical Systems (CPSs) are composed of computational control logic and physical processes, that intertwine with each other. CPSs are widely used in various domains of daily life, including those safety-critical systems and infrastructures, such as medical monitoring, autonomous vehicles, and...