QRS 2022 Keynote Speech

AI for Software Dependability: How Far Can We Go?

9:00 - 10:00 pm (Beijing time)
December 5 (Monday)
Zoom link:
Meeting ID: 834 4731 4682
Passcode: QRS2022


As an example of exploiting the synergy between AI and software engineering, the field of intelligent software engineering (denoting intelligent [software engineering] or AI for software engineering) has emerged with various advances in recent years. This field focuses on instilling intelligence in approaches developed to address various software engineering tasks to accomplish high effectiveness and efficiency, including but not limited to accomplishing the goal of high software dependability. This talk will discuss recent research and future directions in the field of intelligent software engineering for accomplishing the goal of high software dependability while attempting to explore “how far can we go” with intelligent solutions.


Tao Xie's avatar
Prof. Tao Xie China


Peking University, China

Tao Xie is a Peking University Chair Professor, and a Deputy Director of the Key Lab of High Confidence Software Technologies (PKU), Ministry of Education. He was a Full Professor at the Department of Computer Science, the University of Illinois at Urbana-Champaign (UIUC), USA. He is a Foreign Member of Academia Europaea, a Fellow of ACM, IEEE, AAAS, and China Computer Federation (CCF). He won an Xplorer Prize, NSFC Overseas Distinguished Young Scholar Award and its Extension Category, NSF Faculty CAREER Award, ACM SIGSOFT Distinguished Service Award, IEEE TCSE Distinguished Service Award, MSR Foundational Contribution Award, etc. His main research interests include software engineering, system software, software security, and trustworthy AI.