百晓学者学者目录

石琳

副教授、副研究员、助理教授、博士生导师、教授、研究员、硕士生导师、讲师，北京航空航天大学

精选作品

期刊论文

2026

基于深度学习的软件工程:进展、挑战与机遇

陈湘萍，胡星，黄袁，江贺，计卫星，姜艳杰，蒋炎岩，刘博，刘辉，李晓晨，连小利，孟国柱，彭鑫，孙海龙，石琳，王博，王翀，王加益，王甜甜，玄跻峰，夏鑫，杨已彪，杨艺欣，张莉，周毓明，张路

《中国科学:信息科学》

2026

Vulnerability identification by harnessing inter-connected multi-source information

Liyou Chen, Hailong Sun, Xiang Gao, Lin Shi, Yixin Yang, Yi Xu

Journal of Systems and Software

DOI

2026

An Empirical Study of Overlooked Code Review Comments in OSS Projects

YiKe Li, Yuxia Zhang, Qunhong Zeng, Lin Shi, Xin Lin Tan, Tao Wang, Yanjie Jiang, Hui Liu

IEEE Transactions on Software Engineering

DOI

2026

Are They All Good? Evaluating the Quality of CoTs in LLM-Based Code Generation

Binquan Zhang, Li Zhang, Zhiwen Luo, Yuxin Du, Fang Liu, Song Wang, Lin Shi

IEEE Transactions on Software Engineering

DOI

2026

VulRTex: A Reasoning-Guided Approach to Identify Vulnerabilities from Rich-Text Issue Report

Ziyou Jiang, Mingyang Li, Guowei Yang, Lin Shi, Junjie Wang, Qing Wang

ACM Transactions on Software Engineering and Methodology

DOI

2026

Beyond Functional Correctness: Exploring Hallucinations in LLM-Generated Code

Fang Liu, Yang Liu, Lin Shi, Zhen Yang, Li Zhang, Xiaoli Lian, Zhongqi Li, Yuchi Ma

IEEE Transactions on Software Engineering

DOI

2026

On the Road to Personalized Code Intelligence: Portraiting and Assisting Developers Based on Their In-IDE Behaviors

Yuhong Liu, Yunhe Su, Zhipeng Peng, Zhiwen Luo, Lin Shi, Zhi Jin, Li Zhang

Proceedings of the ACM on software engineering.

DOI

2025

EfficientEdit: Accelerating Code Editing via Edit-Oriented Speculative Decoding

Peiding Wang, Li Zhang, Fang Liu, Y. S. Zhu, Wang Xu, Lin Shi, Xiaoli Lian, Minxiao Li, Bo Shen, An Fu

IEEE/ACM International Conference on Automated Software Engineering (ASE)

DOI

2025

FastCoder: Accelerating Repository-level Code Generation via Efficient Retrieval and Verification

Qianhui Zhao, Li Zhang, Fang Liu, Xiaoli Lian, Qiaoyuanhe Meng, Ziqian Jiao, Zetong Zhou, Jia Li, Lin Shi

IEEE/ACM International Conference on Automated Software Engineering (ASE)

DOI

2025

ExpeRepair: Dual-Memory Enhanced LLM-Based Repository-Level Program Repair

Fangwen Mu, Junjie Wang, Lin Shi, Song Wang, Shoubin Li, Qing Wang

Proc. ACM Softw. Eng.

DOI

2024

iSMELL: Assembling LLMs with Expert Toolsets for Code Smell Detection and Refactoring

Di Wu, Fangwen Mu, Lin Shi, Zhaoqiang Guo, Kui Liu, Weiguang Zhuang, Yuqi Zhong, Li Zhang

IEEE/ACM International Conference on Automated Software Engineering (ASE)

DOI

2024

Deep API Sequence Generation via Golden Solution Samples and API Seeds

Yue-Kai Huang, Junjie Wang, Song Wang, Moshi Wei, Lin Shi, Zhe Liu, Qing Wang

ACM Transactions on Software Engineering and Methodology

DOI

2024

ClarifyGPT: A Framework for Enhancing LLM-Based Code Generation via Requirements Clarification

Fangwen Mu, Lin Shi, Song Wang, Zhuohao Yu, Binquan Zhang, ChenXue Wang, Shichao Liu, Qing Wang

Proceedings of the ACM on software engineering.

DOI

2024

PatUntrack: Automated Generating Patch Examples for Issue Reports without Tracked Insecure Code

Ziyou Jiang, Lin Shi, Guowei Yang, Qing Wang

IEEE/ACM International Conference on Automated Software Engineering (ASE)

DOI

2024

Imperfect Code Generation: Uncovering Weaknesses in Automatic Code Generation by Large Language Models

Xiaoli Lian, Shuaisong Wang, Jieping Ma, Xin Lin Tan, Fang Liu, Lin Shi, Cuiyun Gao, Li Zhang

IEEE/ACM International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)

DOI

2023

The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks

Jiho Shin, Moshi Wei, Junjie Wang, Lin Shi, Song Wang

ACM Transactions on Software Engineering and Methodology

DOI

2023

SCPatcher: Mining Crowd Security Discussions to Enrich Secure Coding Practices

Ziyou Jiang, Lin Shi, Guowei Yang, Qing Wang

IEEE/ACM International Conference on Automated Software Engineering (ASE)

DOI

2022

Automated data function extraction from textual requirements by leveraging semi-supervised CRF and language model

Mingyang Li, Lin Shi, Yawen Wang, Junjie Wang, Qing Wang, Jun Hu, Xinhua Peng, Weimin Liao, Guizhen Pi

Information and Software Technology

2021

基于图挖掘扩展学习的增强需求跟踪恢复方法

陈磊，王丹丹，王青，石琳

《计算机研究与发展》

预印本

2024

CodePurify: Defend Backdoor Attacks on Neural Code Models via Entropy-based Purification

Fangwen Mu, Junjie Wang, Zhuohao Yu, Lin Shi, Song Wang, Mingyang Li, Qing Wang

arXiv (Cornell University)

DOI

研究方向

智能软件工程：代码智能大模型、代码注释自动生成、软件智能估算、智能需求工程等

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