ALBFL: A novel neural ranking model for software fault localization via combining static and dynamic features

X Xiao, Y Pan, B Zhang, G Hu, Q Li, R Lu - Information and Software …, 2021 - Elsevier
Context Automatic software fault localization serves as a significant purpose in helping
developers solve bugs efficiently. Existing approaches for software fault localization can be …
被引用次数：21 相关文章

ALBFL: A Novel Neural Ranking Model for Software Fault Localization via Combining Static and Dynamic Features

Y Pan, X Xiao, G Hu, B Zhang, Q Li… - 2020 IEEE 19th …, 2020 - computer.org
Automatic fault localization plays a significant role in assisting developers to fix software
bugs efficiently. Although existing approaches, eg, static methods and dynamic ones, have …

ALBFL:: A novel neural ranking model for software fault localization via combining static and dynamic features

X Xiao, Y Pan, B Zhang, G Hu, Q Li, R Lu - 2021 - dl.acm.org
Context Automatic software fault localization serves as a significant purpose in helping
developers solve bugs efficiently. Existing approaches for software fault localization can be …

ALBFL: A Novel Neural Ranking Model for Software Fault Localization via Combining Static and Dynamic Features

Y Pan, X Xiao, G Hu, B Zhang, Q Li… - 2020 IEEE 19th …, 2020 - ieeexplore.ieee.org
Automatic fault localization plays a significant role in assisting developers to fix software
bugs efficiently. Although existing approaches, eg, static methods and dynamic ones, have …