Zhenchang Xing

Domain-specific cross-language relevant question retrieval

2016

In software development process, developers often seek solutions to the technical problems they encounter by searching relevant questions on Q&A sites. When developers fail to find solutions on Q&A sites in their native language (e.g., …

Leveraging Official Content and Social Context to Recommend Software Documentation

2018 · IEEE Transactions on Services Computing

For an unfamiliar Application Programming Interface (API), software developers often access the official documentation to learn its usage, and post questions related to this API on social question and answering (Q&A) sites to seek solutions. …

ANU-CSIRO at MEDIQA 2019: Question Answering Using Deep Contextual Knowledge

2019

We report on our system for textual inference and question entailment in the medical domain for the ACL BioNLP 2019 Shared Task, MEDIQA. Textual inference is the task of finding the semantic relationships between pairs …

A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture

2023 · arXiv (Cornell University)

The recent release of large language model (LLM) based chatbots, such as ChatGPT, has attracted huge interest in foundation models. It is widely believed that foundation models will serve as the fundamental building blocks for …

Still Confusing for Bug-Component Triaging? Deep Feature Learning and Ensemble Setting to Rescue

2023

To speed up the bug-fixing process, it is essential to triage bugs into the right components as soon as possible. Given the large number of bugs filed everyday, a reliable and effective bug-component triaging tool …

Let's Discover More API Relations: A Large Language Model-based AI Chain for Unsupervised API Relation Inference

2023 · arXiv (Cornell University)

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 limitations, such as limited API text corpus and affected by …

Human-understandable explanation for software vulnerability prediction

2025 · Journal of Systems and Software

Recent advances in deep learning have significantly improved the performance of software vulnerability prediction (SVP). To enhance trustworthiness, the SVP highlights predicted lines of code (LoC) that may be vulnerable. However, providing LoC alone is …

Neural-machine-translation-based commit message generation: how far are we?

2018

Commit messages can be regarded as the documentation of software changes. These messages describe the content and purposes of changes, hence are useful for program comprehension and software maintenance. However, due to the lack of …