![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Software 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.
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.