会议信息

QRS 2026: International Conference on Software Quality, Reliability and Security

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截稿日期:
2026-04-08
通知日期:
2026-05-30
会议日期:
2026-07-22
会议地点:
Florence, Italy
届数:
26
CCF: C   QUALIS: B1   浏览: 63426   关注: 40   参加: 18

征稿

QRS 2026 (International Conference on Software Quality, Reliability and Security) is a CCF C / QUALIS B1 conference held in Florence, Italy on 2026-07-22. The paper submission deadline is 2026-04-08. Acceptance notifications are sent on 2026-05-30.

This year is the 26th anniversary of the QRS Conference. The first edition of the conference was held in Hong Kong, China in 2000 under the name of Asia-Pacific Conference on Quality Software. Since then, the conference has grown significantly. In 2015, the SERE conference (International Conference on Software Security and Reliability) and the QSIC conference (International Conference on Quality Software) were combined into a single conference, QRS, with Q representing Quality, R for Reliability, and S for Security. 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 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 26th QRS conference will be held from July 22-25, 2026 at the University of Florence, Italy.
由 Dou Sun 最后更新于

录用率

平均录用率: 29.5% 16 年间 (2000–2025).

年份提交数录用数录用率(%)
20252696524.2%
20241895026.5%
20232305423.5%
20222737527.5%
20212436125.1%
2011802126.3%
20101212016.5%
20091002828%
2008732230.1%
2007922426.1%
20061815128.2%
20051303728.5%
2004732635.6%
20031805430%
20011004343%
2000663553%

最佳论文

年份最佳论文
2023MAD: One-Shot Machine Activity Detector for Physics-Based Cyber Security
2023Performance Optimization for Information Sharing Process of BlockIoV Based on Multi-Objective Particle Swarm
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2022Valkyrie: Improving Fuzzing Performance Through Deterministic Techniques
2022Towards Extending the Range of Bugs That Automated Program Repair Can Handle
2022Context-Aware Program Simplification to Improve Information Retrieval-Based Bug Localization
2021Confuzzion: A Java Virtual Machine Fuzzer for Type Confusion Vulnerabilities
2021ConcSpectre: Be Aware of Forthcoming Malware Hidden in Concurrent Programs
2021SRTEF: Automatic Test Function Recommendation with Scenarios for Implementing Stepwise Test Case
2021MINTS: Unsupervised Temporal Specifications Miner
2021Can Higher-Order-Mutants Improve the Performance of Mutation-based Fault Localization?
2021The Relation between Bug Fix Change Patterns and Change Impact Analysis
2021An Effective Crowdsourced Test Report Clustering Model based on Sentence Embedding
2020Have it Your Way: Generating Customized Log Datasets with a Model-Driven Simulation Testbed
2020RTPDroid: Detecting Implicitly Malicious Behaviors Under Runtime Permission Model
2020Simplified Deep Forest Model Based Just-in-Time Defect Prediction for Android Mobile Apps
2020Data Evaluation and Enhancement for Quality Improvement of Machine Learning
2020On the Impact of Interlanguage Dependencies in Multilanguage Systems Empirical Case Study on Java Native Interface Applications (JNI)
2020Formal Analysis of Repairable Phased-Mission Systems with Common Cause Failures
2019Method-level Test Selection for Continuous Integration with Static Dependencies and Dynamic Execution Rules
2018Probabilistic sampling-based testing for accelerated reliability assessment
2017Which Factor Impacts GUI Traversal-Based Test Case Generation Technique Most?
2017Using Off-the-Shelf Exception Support Components in C++ Verification
2017Investigating the Significance of Bellwether Effect to Improve Software Effort Estimation
2016Detecting and Preventing Program Inconsistencies Under Database Schema Evolution
2016Leveraging Static Analysis Tools for Improving Usability of Memory Error Sanitization Compilers
2016DFL: Dual-service Fault Localization

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