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Ai for devsecops: A landscape and future opportunities
DevOps has emerged as one of the most rapidly evolving software development paradigms.
With the growing concerns surrounding security in software systems, the DevSecOps …
With the growing concerns surrounding security in software systems, the DevSecOps …
An llm-based approach to recover traceability links between security requirements and goal models
J Hassine - Proceedings of the 28th International Conference on …, 2024 - dl.acm.org
The recovery of requirements traceability links between goal models and requirements is
crucial for ensuring alignment between stakeholder objectives and system specifications …
crucial for ensuring alignment between stakeholder objectives and system specifications …
MPLinker: Multi-template Prompt-tuning with adversarial training for issue-commit Link recovery
In recent years, the pre-training, prompting and prediction paradigm, known as prompt-
tuning, has achieved significant success in Natural Language Processing (NLP). Issue …
tuning, has achieved significant success in Natural Language Processing (NLP). Issue …
[PDF][PDF] Evaluating ReLink for Traceability Link Recovery in Practice
A Yasa, CK Ozaltan, G Ayten, F Kaplama… - Proceedings of the …, 2025 - researchgate.net
Traceability is important in the software development life cycle for managing the connections
among various software artifacts, particularly pull requests (PRs) and issues. Developers …
among various software artifacts, particularly pull requests (PRs) and issues. Developers …
[HTML][HTML] MTLink: Adaptive multi-task learning based pre-trained language model for traceability link recovery between issues and commits
Y Deng, B Wang, Q Zhu, J Liu, J Kuang, X Li - Journal of King Saud …, 2024 - Elsevier
Traceability links between issues and commits (issue-commit links recovery (ILR)) play a
significant role in software maintenance tasks by enhancing developers' observability in …
significant role in software maintenance tasks by enhancing developers' observability in …
Toward more effective deep learning-based automated software vulnerability prediction, classification, and repair
M Fu - 2023 IEEE/ACM 45th International Conference on …, 2023 - ieeexplore.ieee.org
Software vulnerabilities are prevalent in software systems and the unresolved vulnerable
code may cause system failures or serious data breaches. To enhance security and prevent …
code may cause system failures or serious data breaches. To enhance security and prevent …
PromptLink: Multi-template prompt learning with adversarial training for issue-commit link recovery
Y Deng, B Wang, Z Zou, L Ye - Proceedings of the 18th ACM/IEEE …, 2024 - dl.acm.org
In recent years, Prompt Learning, based on pre-training, prompting, and prediction, has
achieved significant success in natural language processing (NLP). The current issue …
achieved significant success in natural language processing (NLP). The current issue …
Deep semi-supervised learning for recovering traceability links between issues and commits
J Zhu, G ** Study
B Wang, S Hu, L Ye, H Wan, Z Zou… - … on Systems, Man, and …, 2024 - ieeexplore.ieee.org
Traceability refers to the potential for traces to be established (ie, created and maintained)
and used. Bug Traceability (BT) is critical for enhancing software quality, reducing …
and used. Bug Traceability (BT) is critical for enhancing software quality, reducing …
[PDF][PDF] The Journal of Systems & Software
Q Zhu, A Zaidman, A Panichella - 2021 - academia.edu
abstract Background: Seeking an appropriate architecture for the design of software is
always a challenge. Although microservices are claimed to be a lightweight architecture …
always a challenge. Although microservices are claimed to be a lightweight architecture …