Lin Shi

According to our database, Lin Shi authored at least 51 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Bringing Open Source Communication and Development Together: A Cross-Platform Study on Gitter and GitHub.

Hanzhi Jiang, Lin Shi, Meiru Che, Yuxia Zhang, Qing Wang

IEEE Trans. Software Eng., November, 2024

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 Trans. Softw. Eng. Methodol., February, 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

Proc. ACM Softw. Eng., 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

CoRR, 2024

Deep Learning-based Software Engineering: Progress, Challenges, and Opportunities.

Xiangping Chen, Xing Hu, Yuan Huang, He Jiang, Weixing Ji, Yanjie Jiang, Yanyan Jiang, Bo Liu, Hui Liu, Xiaochen Li, Xiaoli Lian, Guozhu Meng, Xin Peng, Hailong Sun, Lin Shi, Bo Wang, Chong Wang, Jiayi Wang, Tiantian Wang, Jifeng Xuan, Xin Xia, Yibiao Yang, Yixin Yang, Li Zhang, Yuming Zhou, Lu Zhang

CoRR, 2024

Uncovering Weaknesses in Neural Code Generation.

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

CoRR, 2024

Exploring and Evaluating Hallucinations in LLM-Powered Code Generation.

Fang Liu, Yang Liu, Lin Shi, Houkun Huang, Ruifeng Wang, Zhen Yang, Li Zhang

CoRR, 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

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

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

Ziyou Jiang, Lin Shi, Guowei Yang, Qing Wang

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

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

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

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2023

A Survey on Query-based API Recommendation.

Moshi Wei, Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Lin Shi, Jinqiu Yang, Song Wang, Zhen Ming Jiang

CoRR, 2023

ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification.

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

CoRR, 2023

Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge.

Arunkaleeshwaran Narayanan, Nima Shiri Harzevili, Junjie Wang, Lin Shi, Moshi Wei, Song Wang

CoRR, 2023

SCPatcher: Mining Crowd Security Discussions to Enrich Secure Coding Practices.

Ziyou Jiang, Lin Shi, Guowei Yang, Qing Wang

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Developer-Intent Driven Code Comment Generation.

Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

iSPY: Issue-Solution Pairing From Developer Live Chats.

Lin Shi, Ye Yang, Qing Wang

IEEE Softw., 2022

Detecting coreferent entities in natural language requirements.

Yawen Wang, Lin Shi, Mingyang Li, Qing Wang, Yun Yang

Requir. Eng., 2022

Testing software's changing features with environment-driven abstraction identification.

Zedong Peng, Prachi Rathod, Nan Niu, Tanmay Bhowmik, Hui Liu, Lin Shi, Zhi Jin

Requir. Eng., 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

Inf. Softw. Technol., 2022

Automated Generating Natural Language Requirements based on Domain Ontology.

Ziyan Zhao, Li Zhang, Xiaoyun Gao, Xiaoli Lian, Heyang Lv, Lin Shi

CoRR, 2022

Are we building on the rock? on the importance of data preprocessing for code summarization.

Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, Qing Wang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Automatic Comment Generation via Multi-Pass Deliberation.

Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

MuiDial: Improving Dialogue Disentanglement with Intent-Based Mutual Learning.

Ziyou Jiang, Lin Shi, Celia Chen, Fangwen Mu, Yumin Zhang, Qing Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Where is Your App Frustrating Users?

Yawen Wang, Junjie Wang, Hongyu Zhang, Xuran Ming, Lin Shi, Qing Wang

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

BugListener: Identifying and Synthesizing Bug Reports from Collaborative Live Chats.

Lin Shi, Fangwen Mu, Yumin Zhang, Ye Yang, Junjie Chen, Xiao Chen, Hanzhi Jiang, Ziyou Jiang, Qing Wang

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Automatically detecting feature requests from development emails by leveraging semantic sequence mining.

Lin Shi, Celia Chen, Qing Wang, Barry W. Boehm

Requir. Eng., 2021

A first look at developers' live chat on Gitter.

Lin Shi, Xiao Chen, Ye Yang, Hanzhi Jiang, Ziyou Jiang, Nan Niu, Qing Wang

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Environment-Driven Abstraction Identification for Requirements-Based Testing.

Zedong Peng, Prachi Rathod, Nan Niu, Tanmay Bhowmik, Hui Liu, Lin Shi, Zhi Jin

Proceedings of the 29th IEEE International Requirements Engineering Conference, 2021

Accept or Not? An Empirical Study on Analyzing the Factors that Affect the Outcomes of Modern Code Review?

Dandan Wang, Qing Wang, Junjie Wang, Lin Shi

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

VTLayout: Fusion of Visual and Text Features for Document Layout Analysis.

Shoubin Li, Xuyan Ma, Shuaiqun Pan, Jun Hu, Lin Shi, Qing Wang

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

ISPY: Automatic Issue-Solution Pair Extraction from Community Live Chats.

Lin Shi, Ziyou Jiang, Ye Yang, Xiao Chen, Yumin Zhang, Fangwen Mu, Hanzhi Jiang, Qing Wang

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Dialogue Disentanglement in Software Engineering: How Far are We?

Ziyou Jiang, Lin Shi, Celia Chen, Jun Hu, Qing Wang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Self-enhanced Automatic Traceability Link Recovery via Structure Knowledge Mining for Small-scale Labeled Data.

Lei Chen, Dandan Wang, Lin Shi, Qing Wang

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020

Learning to extract transaction function from requirements: an industrial case on financial software.

Lin Shi, Mingyang Li, Mingzhe Xing, Yawen Wang, Qing Wang, Xinhua Peng, Weimin Liao, Guizhen Pi, Haiqing Wang

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

A Deep Context-wise Method for Coreference Detection in Natural Language Requirements.

Yawen Wang, Lin Shi, Mingyang Li, Qing Wang, Yun Yang

Proceedings of the 28th IEEE International Requirements Engineering Conference, 2020

NERO: A Text-based Tool for Content Annotation and Detection of Smells in Feature Requests.

Fangwen Mu, Lin Shi, Wei Zhou, Yuanzhong Zhang, Huixia Zhao

Proceedings of the 28th IEEE International Requirements Engineering Conference, 2020

A Deep Multitask Learning Approach for Requirements Discovery and Annotation from Open Forum.

Mingyang Li, Lin Shi, Ye Yang, Qing Wang

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Automated Extraction of Requirement Entities by Leveraging LSTM-CRF and Transfer Learning.

Mingyang Li, Ye Yang, Lin Shi, Qing Wang, Jun Hu, Xinhua Peng, Weimin Liao, Guizhen Pi

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Detection of hidden feature requests from massive chat messages via deep siamese network.

Lin Shi, Mingzhe Xing, Mingyang Li, Yawen Wang, Shoubin Li, Qing Wang

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019

Machine learning techniques for code smell detection: A systematic literature review and meta-analysis.

Muhammad Ilyas Azeem, Fabio Palomba, Lin Shi, Qing Wang

Inf. Softw. Technol., 2019

Are All Duplicates Value-Neutral? An Empirical Analysis of Duplicate Issue Reports.

Mingyang Li, Lin Shi, Qing Wang

Proceedings of the 19th IEEE International Conference on Software Quality, 2019

2018

BehaviorKI: Behavior Pattern Based Runtime Integrity Checking for Operating System Kernel.

Xinyue Feng, Qiusong Yang, Lin Shi, Qing Wang

Proceedings of the 2018 IEEE International Conference on Software Quality, 2018

How Do Defects Hurt Qualities? An Empirical Study on Characterizing a Software Maintainability Ontology in Open Source Software.

Celia Chen, Lin Shi, Michael Shoga, Qing Wang, Barry W. Boehm

Proceedings of the 2018 IEEE International Conference on Software Quality, 2018

2017

Understanding feature requests by leveraging fuzzy method and linguistic analysis.

Lin Shi, Celia Chen, Qing Wang, Shoubin Li, Barry W. Boehm

Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

Why is it important to measure maintainability, and what are the best ways to do it?

Celia Chen, Reem Alfayez, Kamonphop Srisopha, Barry W. Boehm, Lin Shi

Proceedings of the 39th International Conference on Software Engineering, 2017

An Empirical Study to Revisit Productivity across Different Programming Languages.

Yingling Li, Lin Shi, Jun Hu, Qing Wang, Jian Zhai

Proceedings of the 24th Asia-Pacific Software Engineering Conference, 2017

2016

Stage-oriented Analysis on Factors Impacting Bug Fixing Time.

Hong Wu, Junjie Wang, Qing Wang, Lin Shi, Feng Yuan

Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

Is It a New Feature or Simply "Don't Know Yet"?: On Automated Redundant OSS Feature Requests Identification.

Lin Shi, Celia Chen, Qing Wang, Barry W. Boehm

Proceedings of the 24th IEEE International Requirements Engineering Conference, 2016

Maintenance Effort Estimation for Open Source Software: A Systematic Literature Review.

Hong Wu, Lin Shi, Celia Chen, Qing Wang, Barry W. Boehm

Proceedings of the 2016 IEEE International Conference on Software Maintenance and Evolution, 2016

2013

Learning from evolution history to predict future requirement changes.

Lin Shi, Qing Wang, Mingshu Li

Proceedings of the 21st IEEE International Requirements Engineering Conference, 2013

2011

An Empirical Study on Evolution of API Documentation.

Lin Shi, Hao Zhong, Tao Xie, Mingshu Li

Proceedings of the Fundamental Approaches to Software Engineering, 2011