Zobrazeno 1 - 10
of 311
pro vyhledávání: '"Kuang HONGYU"'
Autor:
Sun, Kexin, Ren, Yiding, Kuang, Hongyu, Gao, Hui, Ma, Xiaoxing, Rong, Guoping, Shao, Dong, Zhang, He
Traceability plays a vital role in facilitating various software development activities by establishing the traces between different types of artifacts (e.g., issues and commits in software repositories). Among the explorations for automated traceabi
Externí odkaz:
http://arxiv.org/abs/2409.19304
Log-based insider threat detection (ITD) detects malicious user activities by auditing log entries. Recently, large language models (LLMs) with strong common sense knowledge have emerged in the domain of ITD. Nevertheless, diverse activity types and
Externí odkaz:
http://arxiv.org/abs/2408.08902
Autor:
Gao, Hui, Kuang, Hongyu, Assunção, Wesley K. G., Mayr-Dorn, Christoph, Rong, Guoping, Zhang, He, Ma, Xiaoxing, Egyed, Alexander
Traceability allows stakeholders to extract and comprehend the trace links among software artifacts introduced across the software life cycle, to provide significant support for software engineering tasks. Despite its proven benefits, software tracea
Externí odkaz:
http://arxiv.org/abs/2312.16854
Autor:
Gao, Hui, Kuang, Hongyu, Sun, Kexin, Ma, Xiaoxing, Egyed, Alexander, Mäder, Patrick, Rong, Guoping, Shao, Dong, Zhang, He
Traceability approves trace links among software artifacts based on whether two artifacts are related by system functionalities. The traces are valuable for software development, but are difficult to obtain manually. To cope with the costly and falli
Externí odkaz:
http://arxiv.org/abs/2209.01734
Modern code review is a critical and indispensable practice in a pull-request development paradigm that prevails in Open Source Software (OSS) development. Finding a suitable reviewer in projects with massive participants thus becomes an increasingly
Externí odkaz:
http://arxiv.org/abs/2204.09526
Publikováno v:
In Chemico-Biological Interactions 1 November 2024 403
Publikováno v:
In Computers & Security June 2024 141
Sentiment analysis on software engineering (SE) texts has been widely used in the SE research, such as evaluating app reviews or analyzing developers sentiments in commit messages. To better support the use of automated sentiment analysis for SE task
Externí odkaz:
http://arxiv.org/abs/2103.13154
Autor:
Xu, Chengye, Li, Hongxue, Xu, Qian, Zhao, Kangqi, Hao, Ming, Lin, Wenjian, Ma, Xuefei, Gao, Xinyuan, Kuang, Hongyu
Publikováno v:
In Journal of Diabetes and Its Complications March 2024 38(3)