1 citations · 3 across the 8 of their papers we have counts for
8 papers
Let's Discover More API Relations: A Large Language Model-based AI Chain for Unsupervised API Relation Inference
Qing Huang, Yanbang Sun, Zhenchang Xing +5
APIs have intricate relations that can be described in text and represented as knowledge graphs to aid software engineering tasks. Existing relation extraction methods have limitat…
Let's Chat to Find the APIs: Connecting Human, LLM and Knowledge Graph through AI Chain
Qing Huang, Zhenyu Wan, Zhenchang Xing +4
API recommendation methods have evolved from literal and semantic keyword matching to query expansion and query clarification. The latest query clarification method is knowledge gr…
AI Chain on Large Language Model for Unsupervised Control Flow Graph Generation for Statically-Typed Partial Code
Qing Huang, Zhou Zou, Zhenchang Xing +3
Control Flow Graphs (CFGs) are essential for visualizing, understanding and analyzing program behavior. For statically-typed programming language like Java, developers obtain CFGs…
Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation
Jiamou Sun, Zhenchang Xing, Qinghua Lu +4
Due to convenience, open-source software is widely used. For beneficial reasons, open-source maintainers often fix the vulnerabilities silently, exposing their users unaware of the…
Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence
Zejun Zhang, Zhenchang Xing, Xin Xia +3
The usage of Python idioms is popular among Python developers in a formative study of 101 performance-related questions of Python idioms on Stack Overflow, we find that developers…
API Entity and Relation Joint Extraction from Text via Dynamic Prompt-tuned Language Model
Qing Huang, Yanbang Sun, Zhenchang Xing +3
Extraction of Application Programming Interfaces (APIs) and their semantic relations from unstructured text (e.g., Stack Overflow) is a fundamental work for software engineering ta…