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个人简介

教授,美国南加州大学访问学者,CCF高级会员,入选2022年中国科学院软件研究所杰出青年人才,2019年中国科学院软件研究所优秀青年人才,多次获ACM SIGSOFT杰出论文奖和国际会议最佳论文奖。主讲《软件过程与质量》等课程。 在软件工程、人工智能领域的高水平国际会议IJCAI,ICSE,FSE,ASE等发表论文50余篇,多次获ACM SIGSOFT杰出论文奖和国际会议最佳论文奖(ASE'21,RE'21,RE'20)。担任Frontiers in Computer Science 期刊客座编辑,多个国际知名会议期刊包括ICSE、ASE、FSE、Automated Software Engineering期刊、Requirements Engineering期刊、软件学报等审稿人。主持参与多项国家自然科学科学基金项目、国家重点研发项目、CCF-华为胡杨林基金等。担任CCF系统专委会执行委员、CCF软工专委会执行委员、CCF开源专委会执行委员、中国人工智能学会青年工作委员会会员、**软件价格审计专家组成员。

研究领域

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 开源软件:开源软件社区群智挖掘、开源软件可信保障、开源漏洞情报挖掘等 可信AI:AI模型数据治理、AI模型可靠性检测与修复等

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Ziyou Jian, Lin Shi*, Guowei Yang, Qing Wang, SCPatcher: Mining Crowd Security Discussions to Enrich Secure (ASE 2023), 2023 Fangwen Mu, Xiao Chen, Lin Shi*, Song Wang, Qing Wang, Developer-Intent Driven Code Comment Generation (ICSE 2023), 2023 Fangwen Mu, Xiao Chen, Lin Shi*, Song Wang, Qing Wang, Automatic Comment Generation via Multi-Pass Deliberation (ASE 2022), 2022 Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, Qing Wang, Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization (FSE 2022), 2022 Ziyou Jiang, Lin Shi*, Celia Chen, Xiao Chen, Fangwen Mu, Yumin Zhang, Qing Wang, MUIDIAL: Improving Dialogue Disentanglement with Intent-Based Mutual Learning (IJCAI 2022), 2022 Lin Shi, Fangwen Mu, Yumin Zhang, Ye Yang, Junjie Chen, Xiao Chen, Hanzhi Jiang, Ziyou Jiang, Qing Wang, BugListener: Identifying and Synthesizing Bug Reports from Collaborative Live Chats (ICSE 2022), 2022 Yawen Wang, Junjie Wang, Hongyu Zhang, Xuran Ming, Lin Shi, Qing Wang, Where is Your App Frustrating Users? (ICSE 2022), 2022 Zedong Peng, Prachi Rathod, Nan Niu, Tanmay Bhowmik, Hui Liu, Lin Shi and Zhi Jin, Testing Software's Changing Features with Environment-Driven Abstraction Identification (RE 2022), 2022 Yawen Wang, Lin Shi*, Mingyang Li, Qing Wang, Yun Yang, Detecting Coreferent Entities in Natural Language Requirements (RE 2022), 2022 Yawen Wang, Junjie Wang, Mingyang Li, Lin Shi, Qing Wang, Xinhua Peng, Weimin Liao, Guizhen Pi, A Multi-concern Deep Approach for Recognizing Functions from Natural-language Requirement (IST 2022), 2022 王亚文,王俊杰,石琳,王青, 基于语义感知的细粒度App评论缺陷挖掘方法 (软件学报 2022), 2021 Lin Shi, Ziyou Jiang, Ye Yang, Xiao Chen, Yumin Zhang, Fangwen Mu, Hanzhi Jiang, Qing Wang, ISPY: Automatic Issue-Solution Pair Extraction from Community Live Chats (ASE 2021), 2021 ACM SIGSOFT Distinguished Paper Award Ziyou JIang, Lin Shi*, Celia Chen, Jun Hu, Qing Wang, Dialogue Disentanglement in Software Engineering: How Far are We? (IJCAI 2021), 2021 Lin Shi, Xiao Chen, Ye Yang, Hanzhi Jiang, Ziyou Jiang, Nan Niu, Qing Wang, A First Look at Developers' Live Chat on Gitter (ESEC/FSE 2021), 2021 Zedong Peng, Prachi Rathod, Nan Niu, Tanmay Bhowmik, Hui Liu, Lin Shi and Zhi Jin, Environment-Driven Abstraction Identification for Requirements-Based Testing (RE 2021), 2021 Distinguished Paper Award Lin Shi, Mingyang Li, Mingzhe Xing, Yawen Wang, Qing Wang, Xinhua Peng, Weimin Liao, Guizhen Pi, Haiqing Wang, Learning to Extract Transaction Function from Requirements: An Industrial Case on Financial Software (ESEC/FSE 2020), 2020 Lin Shi, Mingzhe Xing, Mingyang Li, Yawen Wang, Shoubin Li, Qing Wang, Detection of Hidden Feature Requests from Massive Chat Messages via Deep Siamese Network (ICSE 2020), 2020 Mingyang Li, Lin Shi, Ye Yang, Qing Wang, A Deep Multitask Learning Approach for Requirements Discovery and Annotation from Open Forum (ASE 2020), 2020 Yawen Wang, Lin Shi, Mingyang Li, Qing Wang, Yun Yang, A Deep Context-wise Method for Coreference Detection in Natural Language Requirements (RE 2020), 2020 Distinguished Paper Award Fangwen Mu, Lin Shi, Wei Zhou, Yuanzhong Zhang, Huixia Zhao, NERO: A Text-based Tool for Content Annotation and Detection of Smelly Requirements (RE 2020), 2020 Mingyang Li, Ye Yang, Lin Shi, Qing Wang, Jun Hu, Automated Extraction of Requirement Entities by Leveraging LSTM-CRF and Transfer Learning (ICSME 2020), 2020 Muhammad Ilyas Azeem, Fabio Palomba, Lin Shi, Qing Wang, Machine learning techniques for code smell detection: A systematic literature review and meta-analysis (Information & Software Technology 2019), 2019 Celia Chen, Lin Shi, Michael Shoga, Qing Wang, Barry Boehm, How Do Defects Hurt Qualities? An Empirical Study on Characterizing A Software Maintainability Ontology in Open Source Software (QRS 2018), 2018 Lin Shi, Celia Chen, Qing Wang, Shoubin Li, and Barry Boehm, Understanding Feature Requests by Leveraging Heuristic Fuzzy rules and Semantic Analysis (ASE 2017), 2017 Yingling Li, Lin Shi, Jun Hu, Qing Wang, Jian Zhai, An Empirical Study to revisit Productivity across different programming Languages (APSEC 2017) Lin Shi, Celia Chen, Qing Wang, Barry Boehm, Is It a New Feature or Simply "Don't know yet"'? On Automated Redundant OSS Feature Requests Identification (RE 2016) Hong Wu, Lin Shi, Celia Chen, Qing Wang, Barry Boehm, Maintenance Effort Estimation for Open Source Software: A Systematic Mapping Study (ICSME 2016) Hong Wu, Junjie Wang, Qing Wang, Lin Shi, Feng Yuan, Stage-oriented Analysis on Factors Impacting Bug Fixing Time (SEKE 2016), 2016 Celia Chen, Reem Alfayez, Kamonphop Srisopha, Lin Shi, Barry Boehm, Evaluating Human-Assessed Software Maintainability Metrics (In Proc. 15th National Software Application Conference 2016) Barry Boehm, Celia Chen, Kamonphop Srisopha, Lin Shi, The Key Roles of Maintainability in an Ontology for System Qualities (In INCOSE International Symposium, Vol. 26, No. 1, page 2026-2040 2016) Celia Chen, Lin Shi, Kamonphop Srisopha, Maintainability Index Variation Among PHP, Java, and Python Open Source Software Projects (STC 2015) Lin Shi, Qing Wang, Mingshu Li, Learning From Evolution to Predict Future Requirement Changes (RE 2013) Lin Shi, Hao Zhong, Tao Xie, Mingshu Li, An Empirical Study on Evolution of API Documentation (In Proc. 14th Fundamental Approaches to Software (FASE), pages 416-431 2011)

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