Abstract

Software reliability engineering has been widely used in engineering projects since it was put forward and has played an important role in improving software reliability. However, as the scale of software becomes larger and the architecture becomes more and more complex, especially network-linked software, it becomes more and more common, which makes traditional software reliability engineering highlight many limitations in practical applications. The rise of artificial intelligence technology has brought new impetus to software reliability engineering. The report will focus on the problems faced by software reliability engineering technology in practical applications, and introduce how to use artificial intelligence technology in some important units of software reliability engineering, so as to further strengthen software reliability engineering technology and provide reliability guarantee for more complex software systems.

Speaker

Professor Jun Ai China

Vice Dean and Professor
School of Reliability and Systems Engineering

Beihang University

Jun Ai, Professor, Vice Dean of the School of Reliability and Systems Engineering, Beihang University, China, Deputy Director of Reliability Engineering Technology Research Center, Chair of IEEE Reliability Society Beijing Chapter, Senior Member of IEEE and CCF. His main research fields are software and intelligent system reliability and safety, including software failure mechanism and defect prediction, software system intelligent testing, intelligent system/software reliability and safety, etc. He published more than 60 papers, 3 monograph books, more than 30 authorized patents, headed many research projects in the field of software reliability, and won the Science and Technology Progress Award, including one Innovation team award, one first prize, and two second prizes.