TLS-WGAN-GP: A generative adversarial network model for data-driven fault root cause location

S Xu, X Xu, H Gao, F Xiao - IEEE Transactions on Consumer …, 2023 - ieeexplore.ieee.org
Data-driven intelligent fault root cause location is important to the reliability and safety of
network operation and maintenance. However, the number of fault samples is much greater …

Software fault localization based on network spectrum and graph neural network

X Gou, A Zhang, C Wang, Y Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Accurate fault localization renders software test resource allocation and maintenance cost-
efficient. However, this is challenging when there are false alarm repercussions caused by …

Towards More Precise Coincidental Correctness Detection with Deep Semantic Learning

H Xie, Y Lei, M Yan, S Li, X Mao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Coincidental correctness (CC) is a situation during the execution of a test case, the buggy
entity is executed, but the program behaves correctly as expected. Many automated fault …

A deep semantics-aware data augmentation method for fault localization

J Hu, Y Lei - Information and Software Technology, 2024 - Elsevier
Context: Fault localization (FL) techniques are employed to identify the relationship between
program statements and failures by analyzing runtime information. They rely on the statistics …

Integrating neural mutation into mutation-based fault localization: A hybrid approach

H Liu, Z Li, B Han, X Chen, D Paul, Y Liu - Journal of Systems and Software, 2025 - Elsevier
Fault localization is an important part of software testing and debugging, helping improve the
process of fixing faults. Mutation-Based Fault Localization (MBFL) is widely used, but the …

GBSR: Graph-based suspiciousness refinement for improving fault localization

Z Li, M Li, S Wu, S Xu, X Chen, Y Liu - Journal of Systems and Software, 2024 - Elsevier
Fault Localization (FL) is an important and time-consuming phase of software debugging.
The essence of FL lies in the process of calculating the suspiciousness of different program …

Multi‐graph learning‐based software defect location

Y Yin, Y Shi, Y Zhao, F Wahab - Journal of Software: Evolution …, 2024 - Wiley Online Library
Software quality is key to the success of software systems. Modern software systems are
growing in their worth based on industry needs and becoming more complex, which …

Do not neglect what's on your hands: localizing software faults with exception trigger stream

X Zhang, Y Song, X Xie, Q Xin, C Xing - Proceedings of the 39th IEEE …, 2024 - dl.acm.org
Existing fault localization techniques typically analyze static information and run-time profiles
of faulty software programs, and subsequently calculate suspiciousness values for each …

Contrastive Coincidental Correctness Representation Learning

M Li, Y Lei, H Xie, J Wang, C Liu… - 2023 IEEE 34th …, 2023 - ieeexplore.ieee.org
A test suite is indispensable for fault localization by providing useful execution information of
its test cases for locating suspicious statements of being faulty. There exists a type of test …

A Systematic Exploration of Mutation‐Based Fault Localization Formulae

B Wang, J Wei, M Chen, C Chen, Y Lin… - Software Testing …, 2024 - Wiley Online Library
Fault localization (FL) aims to automatically find the location of bugs in a software program.
In the family of FL approaches, spectrum‐based fault localization (SBFL) is the most widely …