Large language model for vulnerability detection and repair: Literature review and the road ahead
The significant advancements in Large Language Models (LLMs) have resulted in their
widespread adoption across various tasks within Software Engineering (SE), including …
widespread adoption across various tasks within Software Engineering (SE), including …
A catalog of data smells for coding tasks
Large Language Models (LLMs) are increasingly becoming fundamental in supporting
software developers in coding tasks. The massive datasets used for training LLMs are often …
software developers in coding tasks. The massive datasets used for training LLMs are often …
Trustworthy and synergistic artificial intelligence for software engineering: Vision and roadmaps
D Lo - 2023 IEEE/ACM International Conference on Software …, 2023 - ieeexplore.ieee.org
For decades, much software engineering research has been dedicated to devising
automated solutions aimed at enhancing developer productivity and elevating software …
automated solutions aimed at enhancing developer productivity and elevating software …
Large language model for vulnerability detection: Emerging results and future directions
Previous learning-based vulnerability detection methods relied on either medium-sized pre-
trained models or smaller neural networks from scratch. Recent advancements in Large Pre …
trained models or smaller neural networks from scratch. Recent advancements in Large Pre …
Large Language Model for Vulnerability Detection and Repair: Literature Review and Roadmap
The significant advancements in Large Language Models (LLMs) have resulted in their
widespread adoption across various tasks within Software Engineering (SE), including …
widespread adoption across various tasks within Software Engineering (SE), including …
Improving Long-Tail Vulnerability Detection Through Data Augmentation Based on Large Language Models
The ability of automatic vulnerability detection models largely depends on the dataset used
for training. However, annotating these datasets is costly and time-consuming, leading to a …
for training. However, annotating these datasets is costly and time-consuming, leading to a …
Do Chase Your Tail! Missing Key Aspects Augmentation in Textual Vulnerability Descriptions of Long-tail Software through Feature Inference
Augmenting missing key aspects in Textual Vulnerability Descriptions (TVDs) is crucial for
effective vulnerability analysis. For instance, in TVDs, key aspects include Attack Vector …
effective vulnerability analysis. For instance, in TVDs, key aspects include Attack Vector …