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ORCIDSoftware Testing, Verification & Reliability, Volume 34
Volume 34, Number 1, January 2024
EDITORIAL
- Yves Le Traon, Tao Xie:
Test case prioritization and mutation testing.
RESEARCH ARTICLES
- Yingling Li, Ziao Wang, Junjie Wang, Jie Chen, Rui Mou, Guibing Li:
Semantic-aware two-phase test case prioritization for continuous integration. - Sten Vercammen
, Serge Demeyer, Markus Borg, Niklas Pettersson, Görel Hedin:
Mutation testing optimisations using the Clang front-end.
Volume 34, Number 2, March 2024
EDITORIAL
- Yves Le Traon, Tao Xie:
Bud hunting with directed fuzz testing and source code vulnerability detection with advanced graph neural networks.
SURVEY ARTICLE
- Pengfei Wang, Xu Zhou, Tai Yue, Peihong Lin, Yingying Liu, Kai Lu:
The progress, challenges, and perspectives of directed greybox fuzzing.
RESEARCH ARTICLE
- Jia Yang, Ou Ruan, JiXin Zhang:
Tensor-based gated graph neural network for automatic vulnerability detection in source code.
Volume 34, Number 3, May 2024
EDITORIALS
- Yves Le Traon, Tao Xie:
Test code evolution and mutation testing.
RESEARCH ARTICLES
- Yuan Huang, Zhicao Tang, Xiangping Chen, Xiaocong Zhou:
Towards automatically identifying the co-change of production and test code. - Zaheed Ahmed, Eike Schwass, Steffen Herbold, Fabian Trautsch, Jens Grabowski:
A new perspective on the competent programmer hypothesis through the reproduction of real faults with repeated mutations.
Volume 34, Number 4, June 2024
EDITORIAL
- Yves Le Traon, Tao Xie:
Investigating fault injection techniques in hardware-based deep neural networks and mutation-based fault localization.
SPECIAL ISSUE PAPERS
- Md Hasanur Rahman, Sabuj Laskar, Guanpeng Li:
Investigating the impact of transient hardware faults on deep learning neural network inference. - Hengyuan Liu, Zheng Li, Baolong Han, Yangtao Liu, Xiang Chen, Yong Liu:
Delta4Ms: Improving mutation-based fault localization by eliminating mutant bias.
Volume 34, Number 5, August 2024
Editorial
- Yves Le Traon, Tao Xie:
Unsafe code detection in Rust and metamorphic testing of autonomous driving systems.
Special Issue Paper
- Yan Dong, Zhicong Zhang, Mohan Cui, Hui Xu:
SafeNet: Towards mitigating replaceable unsafe Rust code via a recommendation-based approach.
Research Article
- Zhen Yang, Song Huang, Tongtong Bai, Yongming Yao, Yang Wang, Changyou Zheng, Chunyan Xia:
MetaSem: metamorphic testing based on semantic information of autonomous driving scenes.
Volume 34, Number 6, September 2024
Editorial
- Yves Le Traon, Tao Xie:
Fault tolerance and metamorphic relation prediction.
Special Issue Paper
- Ayoosh Bansal, Hunmin Kim, Simon Yu, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha:
Perception simplex: Verifiable collision avoidance in autonomous vehicles amidst obstacle detection faults. - Xuedan Zheng, Mingyue Jiang, Zhi Quan Zhou:
Boosting Metamorphic Relation Prediction via Code Representation Learning: An Empirical Study.
Volume 34, Number 7, November 2024
Editorial
- Yves Le Traon, Tao Xie:
Metamorphic Testing and Web Element Localization.
Research Article
- Ruosi Li, Xianglong Kong, Wei Guo, Jingdong Guo, Hongfa Li, Fan Zhang:
Boosting Multimode Ruling in DHR Architecture With Metamorphic Relations. - Yifan Zhang, Dave Towey, Matthew Pike, Jia Cheng Han, Zhi Quan Zhou, Chenghao Yin, Qian Wang, Chen Xie:
Scenario-Driven Metamorphic Testing for Autonomous Driving Simulators. - Michel Nass, Emil Alégroth, Robert Feldt:
Improving Web Element Localization by Using a Large Language Model.
Volume 34, Number 8, December 2024
Editorial
- Yves Le Traon, Tao Xie:
DNN Testing, Regression Testing and Software Reliability Prediction.
Special Issue Paper
- Zhouxian Jiang, Honghui Li, Rui Wang, Xuetao Tian, Ci Liang, Fei Yan, Junwen Zhang, Zhen Liu:
Validity Matters: Uncertainty-Guided Testing of Deep Neural Networks.
Research Article
- Frédéric Tamagnan, Alexandre Vernotte, Fabrice Bouquet, Bruno Legeard:
Generation of Regression Tests From Logs With Clustering Guided by Usage Patterns. - Minghao Yang, Shunkun Yang, Chong Bian:
Software Reliability Prediction by Adaptive Gated Recurrent Unit-Based Encoder-Decoder Model With Ensemble Empirical Mode Decomposition.
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