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FSE

SED-169

ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

📍 Shenzhen, China · 2027-07-12 ~ 2027-07-16

공식 웹사이트DBLP정보 오류 신고
채택률24.3%(2024, 127/523)
키워드LLMTestingVulnerabilityLanguage ModelAgent

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데드라인

2026 (main)
📍 Montreal, Canada
📋 Abstract: 2025-09-04
📝 Paper: 2025-09-11
📬 Notification: 2025-12-22
📅 학회: 2026-07-05 ~ 2026-07-09
2027 (main)
📍 Shenzhen, China
📝 Paper: 2026-10-09
📅 학회: 2027-07-12 ~ 2027-07-16

데드라인은 변경될 수 있습니다. 제출 전 공식 웹사이트에서 최종 일정을 확인하세요.

Acceptance Rate?

연도제출채택채택률
202036010128.1%
20214009724.3%
20224469922.2%
202347211624.6%
202452312724.3%

Research Trend?

Best Papers

🏆 2025Distinguished Paper Award
Demystifying LLM-based Software Engineering Agents
Xia, Deng, Dunn & Zhang
LLMSoftware Agents
🏆 2025Distinguished Paper Award
Hallucination Detection in Large Language Models with Metamorphic Relations
Yang, Al Mamun, Zhang & Uddin
LLMHallucination Detection
🏆 2025Distinguished Paper Award
Less is More: On the Importance of Data Quality for Unit Test Generation
Zhang, Hu, Gao, Xia, Lo & Li
Unit TestingLLM
🏆 2025Distinguished Paper Award
Mystique: Automated Vulnerability Patch Porting with Semantic and Syntactic-Enhanced LLM
Wu, Wang, Cao, Chen, Zhou, Huang, Zhao & Peng
Vulnerability PatchingLLM
🏆 2025Distinguished Paper Award
Pinning Is Futile: You Need More Than Local Dependency Versioning to Defend Against Supply Chain Attacks
He, Vasilescu & Kästner
Supply Chain SecuritySoftware Dependencies
🏆 2024Distinguished Paper Award
A Transferability Study of Interpolation-Based Hardware Model Checking for Software Verification
Beyer, Chien, Jankola, Lee
VerificationModel Checking
🏆 2024Distinguished Paper Award
Only diff Is Not Enough: Generating Commit Messages Leveraging Reasoning and Action of Large Language Model
Li, Faragó, Petrov, Ahmed
LLMCode Generation
🏆 2023Best Paper Award
Recommending Analogical APIs via Knowledge Graph Embedding
Liu et al.
APIKnowledge Graph
🏆 2023Best Paper Award
TransRacer: Function Dependence-Guided Transaction Race Detection for Smart Contracts
Chenyang Ma, Wei Song, Jeff Huang
TransactionsDetection
🏆 2023Best Paper Award
LExecutor: Learning-Guided Execution
Beatriz Souza & Michael Pradel
🏆 2023Best Paper Award
A Longitudinal Study of Student Contributions to OSS vs. OSS4SG with a Lightweight Intervention
Zihan Fang, Madeline Endres, Thomas Zimmermann, Denae Ford, Westley R Weimer, Kevin Leach, Yu Huang
🏆 2023Best Paper Award
Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities
Xinyu Gao, Zhijie Wang, Yang Feng, Lei Ma, Zhenyu Chen, Baowen Xu
RobustnessSensors
🏆 2023Best Paper Award
NeuRI: Diversifying DNN Generation via Inductive Rule Inference
Jiawei Liu, Jinjun Peng, Yuyao Wang, Lingming Zhang
Generative Models
🏆 2023Best Paper Award
Can Machine Learning Pipelines Be Better Configured?
Yibo Wang, Ying Wang, Tingwei Zhang, Yue Yu, Shing-Chi Cheung, Hai Yu, Zhiliang Zhu
🏆 2023Best Paper Award
An Automated Approach to Extracting Local Variables
Xiaye Chi, Hui Liu, Guangjie Li, Weixiao Wang, Yunni Xia, Yanjie Jiang, Yuxia Zhang, Weixing Ji
🏆 2023Best Paper Award
A Highly Scalable, Hybrid, Cross-Platform Timing Analysis Framework Providing Accurate Differential Throughput Estimation via Instruction-Level Tracing
Min-Yih Hsu, Felicitas Hetzelt, David Gens, Michael Maitland, Michael Franz
Network PerformanceTracing
🏆 2023Best Paper Award
Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors
Ruoxi Sun, Minhui Xue, Gareth Tyson, Tian Dong, Shaofeng Li, Shuo Wang, Haojin Zhu, Seyit Camtepe
RobustnessMalware DetectionExplainable AI
🏆 2023Best Paper Award
Speeding up SMT Solving via Compiler Optimization
Benjamin Mikek & Qirun Zhang
OptimizationCompilersSMT Solving
🏆 2023Best Paper Award
Baldur: Whole-Proof Generation and Repair with Large Language Models
Emily First, Markus Rabe, Talia Ringer, Yuriy Brun
LLMGenerative Models
🏆 2022Best Paper Award
Using Nudges to Accelerate Code Reviews at Scale
Shan et al.
Code ReviewNudges
🏆 2022Best Paper Award
Minerva: Browser API Fuzzing with Dynamic Mod-Ref Analysis
Chijin Zhou, Quan Zhang, Mingzhe Wang, Lihua Guo, Jie Liang, Zhe Liu, Mathias Payer, Yu Jiang
Fuzzing
🏆 2022Best Paper Award
The Evolution of Type Annotations in Python: An Empirical Study
Luca Di Grazia & Michael Pradel
🏆 2022Best Paper Award
Online Testing of RESTful APIs: Promises and Challenges
Alberto Martin-Lopez, Sergio Segura, Antonio Ruiz-Cortés
🏆 2022Best Paper Award
Asynchronous Technical Interviews: Reducing the Effect of Supervised Think-Aloud on Communication Ability
Mahnaz (Mana) Behroozi, Chris Brown, Chris Parnin
🏆 2022Best Paper Award
SPINE: A Scalable Log Parser with Feedback Guidance
Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang
Logging
🏆 2022Best Paper Award
First Come First Served: The Impact of File Position on Code Review
Enrico Fregnan, Larissa Braz, Marco D'Ambros, Gül Calikli, Alberto Bacchelli
Code Review
🏆 2021Distinguished Paper Award
Bias in Machine Learning Software: Why? How? What to Do?
Joymallya Chakraborty, Suvodeep Majumder, Tim Menzies
fairnessbiasML software engineering
🏆 2021Distinguished Paper Award
Probabilistic Delta Debugging
Guancheng Wang, Ruobing Shen, Junjie Chen, Yingfei Xiong, Lu Zhang
debuggingdelta debuggingprogram analysis
🏆 2021Best Paper Award
A longitudinal analysis of bloated Java dependencies
César Soto-Valero, Thomas Durieux, Benoit Baudry
🏆 2021Best Paper Award
AlloyMax: bringing maximum satisfaction to relational specifications
Changjian Zhang, Ryan Wagner, Pedro Orvalho, David Garlan, Vasco Manquinho, Ruben Martins, Eunsuk Kang
Relational Databases
🏆 2021Best Paper Award
Efficient Module-Level Dynamic Analysis for Dynamic Languages with Module Recontextualization
Nikos Vasilakis, Grigoris Ntousakis, Veit Heller, Martin C. Rinard
Efficiency
🏆 2021Best Paper Award
Semantic Bug Seeding: A Learning-Based Approach for Creating Realistic Bugs
Jibesh Patra & Michael Pradel
🏆 2021Best Paper Award
SmartCommit: A Graph-Based Interactive Assistant for Activity-Oriented Commits
Bo Shen, Wei Zhang, Christian Kästner, Haiyan Zhao, Zhao Wei, Guangtai Liang, Zhi Jin
🏆 2021Best Paper Award
Vet: Identifying and Avoiding UI Exploration Tarpits
Wenyu Wang, Wei Yang, Tianyin Xu, Tao Xie
HCIExploration
🏆 2020Best Paper Award
A Principled Approach to GraphQL Query Cost Analysis
Alan Cha, Erik Wittern, Guillaume Baudart, James C. Davis, Louis Mandel, Jim Alain Laredo
🏆 2020Best Paper Award
Boosting fuzzer efficiency: an information theoretic perspective
Marcel Bohme, Valentin J. Manes, Sang-kil Cha
🏆 2020Best Paper Award
Community expectations for research artifacts and evaluation processes
Ben Hermann, Stefan Winter, Janet Siegmund
🏆 2020Best Paper Award
Deep learning library testing via effective model generation
Zan Wang, Ming Yan, Junjie Chen, Shuang Liu, Dongdi Zhang
Deep LearningGenerative Models
🏆 2020Best Paper Award
Detecting numerical bugs in neural network architectures
Yuhao Zhang, Luyao Ren, Liqian Chen, Yingfei Xiong, S. C. Cheung, Tao Xie
Neural Networks
🏆 2020Best Paper Award
On decomposing a deep neural network into modules
Rangeet Pan & Hridesh Rajan
Neural Networks
🏆 2020Best Paper Award
Testing self-adaptive software with probabilistic guarantees on performance metrics
Claudio Mandrioli, Martina Maggio

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