Software and system reliability is the probability of failure-free software and system operation for a specified period of time in a specified environment. Reliability is also an important factor affecting software and system dependence. Many life-critical systems being required to operate without a system failure for a given period of time, such examples as nuclear, aerospace, spacecraft and high-speed trains and other such systems, need the development of reliability.

This symposium provides scientists and engineers from both industry and academia a platform to present their ongoing work, relate their research outcomes and experiences, and discuss the best and most efficient techniques for the development of reliable, secure, and trustworthy systems. It also represents an excellent opportunity for the academic community to become more aware of subject areas critical to the software industry as practitioners bring their needs to the table. The 2017 ISSSR will be held from October 14 to 15, 2017, which is following the 2016 ISSSR conference held in Zhengzhou sponsored by Zhengzhou University of Light Industry.

Keynote Speakers

– Maximizing Business Value with Lifecycle Telemetry Data
    Mark Bentsen  [more...]
    QA Manager, Argo Data, USA

– Challenges on Software Testing and Program Debugging
    W. Eric Wong  [more...]
    Editor-in-Chief, IEEE Transactions on Reliability

Important Dates

  • Paper submission due:
    July 25, 2017
  • Author notification:
    August 20, 2017
  • Camera-ready and author registration due:
    August 30, 2017
  • Conference dates:
    October 14-15, 2017

General Inquiries

For more information, please contact Mr. Hongwei Tao at:

Topics of Interest

  • Architecture and design based reliability and performance
  • Formalization verification
  • Fault tolerance and diagnosis
  • Process improvement and maintenance
  • Quality and safety
  • Redundancy technology
  • Reliability analysis and optimization
  • Reliability measurement, estimation and predication
  • Reliability modeling and validation
  • Reliability requirement and growth models
  • Reliability technological models
  • Testing and simulation
  • Trustworthy evaluation
  • Data-Driven reliability model design
  • Machine learning related to reliability

Sponsored by:
Copyright © ISSSR 2017