Conference Information
QRS 2024: International Conference on Software Quality, Reliability and Security
https://qrs24.techconf.org/
Submission Date:
2024-03-11
Notification Date:
2024-05-06
Conference Date:
2024-07-01
Location:
Cambridge, UK
Years:
24
CORE: b   QUALIS: b1   Viewed: 45349   Tracked: 40   Attend: 18

Call For Papers
About QRS

In 2015, the SERE conference (IEEE International Conference on Software Security and Reliability) and the QSIC conference (IEEE International Conference on Quality Software) were combined into a single conference, QRS, with Q representing Quality, R for Reliability, and S for Security, sponsored by the IEEE Reliability Society. This conference gives engineers and scientists 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 provides 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 24th QRS conference will be held from July 1-5, 2024 in Cambridge, United Kingdom.

Topics of Interest

    Reliability, Security, Availability, and Safety of Software Systems
    AI-based Techniques for Software Quality, Reliability, and Security
    Knowledge-based Techniques for Software Quality, Reliability, and Security
    Software Testing, Verification, and Validation
    Program Debugging and Comprehension
    Information and Software Quality Assurance
    Fault Tolerance for Software Reliability Improvement
    Modeling, Prediction, Simulation, and Evaluation
    Metrics, Measurements, and Analysis
    Secure and Reliable Storage
    Software Penetration and Protection
    Software Vulnerabilities
    Formal Methods
    Malware Detection and Analysis
    Intrusion Detection and Prevention
    Operating System Security and Reliability
    Mobile and Smartphone Applications
    Internet of Things and Cloud Computing
    Information and Knowledge Management
    Benchmark, Tools, Industrial Applications, and Empirical Studies
    Machine Learning and Deep Learning Models and Systems
Last updated by Dou Sun in 2023-11-23
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
2011802126.3%
20101212016.5%
20091002828%
2008732230.1%
2007922426.1%
20061815128.2%
20051303728.5%
2004732635.6%
20031805430%
20011004343%
2000663553%
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