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20242026
most citedDo Chase Your Tail! Missing Key Aspects Augmentation in Textual Vulnerability Descriptions of Long-tail Software through Feature Inference

2 citations · 3 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.SE2025

Domain-constrained Synthesis of Inconsistent Key Aspects in Textual Vulnerability Descriptions

Linyi Han, Shidong Pan, Zhenchang Xing +5

Textual Vulnerability Descriptions (TVDs) are crucial for security analysts to understand and address software vulnerabilities. However, the key aspect inconsistencies in TVDs from…

cs.SE2025

Think Like an Engineer: A Neuro-Symbolic Collaboration Agent for Generative Software Requirements Elicitation and Self-Review

Sai Zhang, Zhenchang Xing, Jieshan Chen +5

The vision of End-User Software Engineering (EUSE) is to empower non-professional users with full control over the software development lifecycle. It aims to enable users to drive…

cs.SE2024

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension

Fangzhou Xu, Sai Zhang, Zhenchang Xing +3

Code quality evaluation involves scoring generated code quality based on a reference code for a specific problem statement. Currently, there are two main forms of evaluating code q…

cs.SE2024

A test-free semantic mistakes localization framework in Neural Code Translation

Lei Chen, Sai Zhang, Fangzhou Xu +4

In the task of code translation, neural network-based models have been shown to frequently produce semantically erroneous code that deviates from the original logic of the source c…

cs.SE2024★ 1 cited

Empowering Agile-Based Generative Software Development through Human-AI Teamwork

Sai Zhang, Zhenchang Xing, Ronghui Guo +6

In software development, the raw requirements proposed by users are frequently incomplete, which impedes the complete implementation of application functionalities. With the emerge…

cs.SE2024★ 2 cited

Do Chase Your Tail! Missing Key Aspects Augmentation in Textual Vulnerability Descriptions of Long-tail Software through Feature Inference

Linyi Han, Shidong Pan, Zhenchang Xing +4

Augmenting missing key aspects in Textual Vulnerability Descriptions (TVDs) is crucial for effective vulnerability analysis. For instance, in TVDs, key aspects include Attack Vecto…