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31st ISSRE 2020: Coimbra, Portugal
- Marco Vieira, Henrique Madeira, Nuno Antunes, Zheng Zheng:
31st IEEE International Symposium on Software Reliability Engineering, ISSRE 2020, Coimbra, Portugal, October 12-15, 2020. IEEE 2020, ISBN 978-1-7281-9870-5
Best Research Paper Nominees
- Xiaoting Du, Guanping Xiao
, Yulei Sui:
Fault Triggers in the TensorFlow Framework: An Experience Report. 1-12 - Francesco Secci, Andrea Ceccarelli
On failures of RGB cameras and their effects in autonomous driving applications. 13-24 - Guanpeng Li, Yiran Li, Saurabh Jha
AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems. 25-36
Research Session 1: Anomaly Detection
- Rui Chen, Shenglin Zhang
LogTransfer: Cross-System Log Anomaly Detection for Software Systems with Transfer Learning. 37-47 - Ping Liu, Haowen Xu, Qianyu Ouyang, Rui Jiao, Zhekang Chen, Shenglin Zhang
Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks. 48-58 - Yong Yang, Yifan Wu, Karthik Pattabiraman, Long Wang, Ying Li:
How Far Have We Come in Detecting Anomalies in Distributed Systems? An Empirical Study with a Statement-level Fault Injection Method. 59-69
Research Session 2: Vulnerability and Failure Analysis
- Tao Ji, Liqian Chen, Xin Yi
Understanding Merge Conflicts and Resolutions in Git Rebases. 70-80 - Lei Sun, Xumei Li, Haipeng Qu, Xiaoshuai Zhang:
AFLTurbo: Speed up Path Discovery for Greybox Fuzzing. 81-91 - Xiaoyun Li, Pengfei Chen, Linxiao Jing, Zilong He, Guangba Yu:
SwissLog: Robust and Unified Deep Learning Based Log Anomaly Detection for Diverse Faults. 92-103
Research Session 3: Failure Prediction, Detection, and Prevention
- Jon Ayerdi, Sergio Segura, Aitor Arrieta, Goiuria Sagardui
QoS-aware Metamorphic Testing: An Elevation Case Study. 104-114 - João R. Campos
Fault Injection to Generate Failure Data for Failure Prediction: A Case Study. 115-126 - Milan Copic, Rainer Leupers, Gerd Ascheid:
Modelling Machine Learning Components for Mapping and Scheduling of AUTOSAR Runnables. 127-137
Research Session 4: Reliability Analysis and Assurance
- Maskura Nafreen, Melanie Luperon, Lance Fiondella, Vidhyashree Nagaraju, Ying Shi, Thierry Wandji:
Connecting Software Reliability Growth Models to Software Defect Tracking. 138-147 - Hayes Converse, Antonio Filieri, Divya Gopinath, Corina S. Pasareanu:
Probabilistic Symbolic Analysis of Neural Networks. 148-159 - Shikhar Singh, Marko Vasic, Sarfraz Khurshid:
Designing Neural Networks Using Logical Specs. 160-171
Research Session 5: Faults and Failures Analysis
- Shuqing Li
An Exploratory Study of Bugs in Extended Reality Applications on the Web. 172-183 - Jianjun He, Ling Xu, Yuanrui Fan, Zhou Xu, Meng Yan
Deep Learning Based Valid Bug Reports Determination and Explanation. 184-194 - Guanping Xiao
HINDBR: Heterogeneous Information Network Based Duplicate Bug Report Prediction. 195-206
Research Session 6: Dependability Assessment
- Han Wu, Zhihao Shang, Guang Peng, Katinka Wolter:
A Reactive Batching Strategy of Apache Kafka for Reliable Stream Processing in Real-time. 207-217 - Domenico Cotroneo, Roberto Natella
Dependability Evaluation of Middleware Technology for Large-scale Distributed Caching. 218-228 - Dominik Kesim, André van Hoorn, Sebastian Frank
Identifying and Prioritizing Chaos Experiments by Using Established Risk Analysis Techniques. 229-240
Research Session 7: Android Security and Reliability
- Jie Liu, Dongjie He
Correlating UI Contexts with Sensitive API Calls: Dynamic Semantic Extraction and Analysis. 241-252 - Ming Fan, Le Yu, Sen Chen, Hao Zhou, Xiapu Luo, Shuyue Li, Yang Liu
An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps. 253-264 - Diyu Wu
Exposing Android Event-Based Races by Selective Branch Instrumentation. 265-276
Research Session 8: Testing
- Muhammad Ashfaq
FSCS-SIMD: An efficient implementation of Fixed-Size-Candidate-Set adaptive random testing using SIMD instructions. 277-288 - Jianyi Zhou, Feng Li, Jinhao Dong, Hongyu Zhang
Cost-Effective Testing of a Deep Learning Model through Input Reduction. 289-300 - Xiao-Yi Zhang, Paolo Arcaini
Investigating the Configurations of an Industrial Path Planner in Terms of Collision Avoidance. 301-312
Research Session 9: Fault Prediction and Detection
- Yiwei Wang, Wei Wang, Yujun Cai, Bryan Hooi, Beng Chin Ooi:
Detecting Implementation Bugs in Graph Convolutional Network based Node Classifiers. 313-324 - Bin Xu, Dongdong Zhao, Kai Jia, Junwei Zhou
Cross-Project Aging-Related Bug Prediction Based on Joint Distribution Adaptation and Improved Subclass Discriminant Analysis. 325-334 - Guoping Rong, Hao Wang, Yong You, He Zhang, Jialin Sun, Dong Shao, Yangchen Xu:
Locating the Clues of Declining Success Rate of Service Calls. 335-345
Research Session 10: Quality Assessment and Assurance
- Luigi Lavazza, Sandro Morasca:
An Empirical Study of Thresholds for Code Measures. 346-357 - Aliénor Damien, Pierre-François Gimenez, Nathalie Feyt, Vincent Nicomette, Mohamed Kaâniche, Eric Alata:
On-board Diagnosis: A First Step from Detection to Prevention of Intrusions on Avionics Applications. 358-368 - Frederico Cerveira
Evaluation of RESTful frameworks under soft errors. 369-379
Research Session 11: Failure/Fault Detection and Reproduction
- Kaushik Madala, Ke Ye Hang, Hyunsook Do, Bastian Tenbergen:
SACC - A property driven approach to expose undesired behaviors among system's components. 380-390 - Kaiyuan Wang, Allison Sullivan
Fault Localization for Declarative Models in Alloy. 391-402 - Wing Lam, Stefan Winter, Angello Astorga, Victoria Stodden, Darko Marinov:
Understanding Reproducibility and Characteristics of Flaky Tests Through Test Reruns in Java Projects. 403-413
Research Session 12: Fault Injection
- Elder Rodrigues Jr., Leonardo Montecchi
Model-Driven Fault Injection in Java Source Code. 414-425 - Zitao Chen
TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications. 426-435
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