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<!DOCTYPE html>
<html>
<head>
<link rel="stylesheet" type="text/css" href="css/main.css" />
<script type="text/javascript">
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<meta charset="UTF-8" />
<title>Lin Shi's Homepage</title>
</head>
<body>
<nav>
<ul>
<li><a href="index.html"><font size="5">Home</font></a></li>
<li><a href="publications.html"><font size="5">Publications</font></a></li>
<li><a href="awards.html"><font size="5">Awards</font></a></li>
<li><a href="projects.html"><font size="5">Projects</font></a></li>
<li><a href="services.html"><font size="5">Services</font></a></li>
<li><a href="teach.html"><font size="5">Teaching</font></a></li>
<li><a href="student.html"><font size="5">Students</font></a></li>
</ul>
</nav>
<div>
<table>
<td width="60%">
<img class="imageleft" alt="Lin Shi" title="Lin Shi" src="images/linshi.png" align=left height="242" width="192"/>
<font size="7">Lin Shi</font> <br/><br/>
<font class="sfont" size="5">
Professor, Ph.D <br />
School of Software <br/>
Beihang University <br />
Email: shilin@buaa.edu.cn <br />
Address: 工训中心425 <br />
</font>
<!-- <img alt="ucas" title="ucas" src="images/beihang.jpg" align=left height="50" width="50"/
<img alt="ucas" title="ucas" src="images/ucas.png" align=left height="50" width="240"/ -->
</td>
<!-- <td width="40%" height="192" style="vertical-align: text-top" bgcolor="#F8F9F9">
<font = size="4">
<b>Prospective Students:</b>
</font>
<br /> <br />
<font size="3">
I'm actively recruiting (self-motivated and active) PhD students.
Please contact me if you are a <b>self-motivated</b>
PhD student (or graduate student interested in our PhD program) with
<b>strong programming skills</b> and <b>strong interests</b> in software analysis, security and machine learning as well as deep learning.
</font><br />
More information can be found <a href="phd.html">here</a>.
<br />
<br />
<font size="3">
Please submit your high-quality work to
<a href="https://conf.researchr.org/home/icse-2023">ICSE 2023</a>
<a href="https://conf.researchr.org/home/fse-2023">ESEC/FSE 2023</a>
<a href="https://saner2023.must.edu.mo/">SANER 2023</a>
<a href="https://conf.researchr.org/home/mobilesoft-2022">MobileSoft 2023</a>
<a href="https://conf.researchr.org/home/ast-2023">AST 2023</a>
</font>
</td> -->
</table>
<!-- <table><td><p>
Dr. Li Li is an ARC DECRA Fellow and Senior Lecturer at Monash University, where he leads the <a href="https://smat-lab.github.io/">SMart software Analysis and Trustworthy computing (SMAT) research lab</a> at the Department of Software Systems and Cybersecurity.
He joined <a href="https://www.monash.edu">Monash University</a> as a Lecturer on February 2018.
Prior to that, he was a research associate in Software Engineering at the
<a href="https://wwwen.uni.lu">University of Luxembourg (UL)</a> where he also obtained his Phd degree in November 2016 under the supervision of
<a href="http://wwwen.uni.lu/snt/people/yves_le_traon">Prof. Yves Le Traon (IEEE Fellow)</a> and
<a href="https://sites.google.com/site/jacqueskleinwebpage/">Dr. Jacques Klein</a>.
His research interests mainly lie in the field of Mobile Software Engineering (i.e., Mobile Security and quality assurance) and Intelligent Software Engineering (SE4AI, AI4SE), under which
he is broadly interested in applying static code analysis, dynamic program testing, machine/deep learning techniques to strengthen the security and reliability of software systems.
<br /><br />
Li's research has been published in top-tier conferences and journals including ICSE, ESEC/FSE, ASE, ISSTA, POPL, PLDI, TheWebConf, ACL, TOSEM, TSE, TDSC, TIFS.
He is recognised as a Rising SE Research Star and one of the Top-5 Most Impactful Early Career SE Researchers in the world (<a href="https://www.sciencedirect.com/science/article/abs/pii/S0164121221001266">2020</a>, <a href="https://www.sciencedirect.com/science/article/abs/pii/S0164121218302334">2017</a>).
His research publications have received 5 best/distinguished paper awards, including ACM SIGPLAN Distinguished Paper Award at PLDI 2021 (CORE A*), Best Student Paper Award at TheWebConf 2020 (CORE A*), ACM SIGSOFT Distinguished Paper Award at ASE 2018 (CORE A*), Free and Open-Source Software (FOSS) Impact Paper Award at MSR 2018 (CORE A), and Best Paper Award at the ERA track of SANER 2016 (CORE A).
</p></td></table> -->
<table width="100%">
<tr>
<td width="75%" valign="top">
<!--
<h2>News</h2>
<p>
[2019-08] Our paper entitled "CDA: Characterising Deprecated Android APIs" was accepted to the Empirical Software Engineering journal <br />
[2019-07] I am invited to serve as co-Chair of the Early Research Achievements Track at SANER 2020. <br />
[2019-06] Our papers entitled "Do Energy-oriented Changes Hinder Maintainability?" was accepted to ICSME 2019 <br />
[2019-05] Two papers entitled "Mining Android Crash Fixes in the Absence of Issue- and Change-Tracking Systems" and "A Large-Scale Study of Application Incompatibilities in Android" were accepted to ISSTA 2019 <br />
[2019-03] Our paper entitled "Dating with Scambots: Understanding the Ecosystem of Fraudulent Dating Applications" was accepted to TDSC <br />
[2019-02] Our paper entitled "Negative Results on Mining Crypto-API Usage Rules in Android Apps" was accepted to MSR 2019 <br />
[2019-01] Our paper entitled "Rebooting Research on Detecting Repackaged Android Apps: Literature Review and Benchmark" was accepted to TSE <br />
[2018-12] Our paper entitled "Want to Earn a Few Extra Bucks? A First Look at Money-making Apps" was accepted to SANER 2019 <br />
[2018-09] Our paper entitled "DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems" won the ACM SIGSOFT Distinguished Paper Award <br />
[2018-08] Our paper entitled "Automated Testing of Android Apps: A Systematic Literature Review" was accepted to IEEE Transactions on Reliability <br />
[2018-07] Our paper entitled "Beyond Google Play: A Large-Scale Comparative Study of Chinese Android App Markets" was accepted to IMC 2018 <br />
[2018-07] Two papers entitled "MoonlightBox: Mining Android API Histories for Uncovering Release-time Inconsistencies" and "DeepMutation: Mutation Testing of Deep Learning Systems" were accepted to ISSRE 2018 <br />
[2018-07] Our paper entitled "DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems" was accepted to ASE 2018 <br />
[2018-06] Our paper entitled "FraudDroid: Automated Ad Fraud Detection for Android Apps" was accepted to ESEC/FSE 2018 <br />
[2018-06] Our paper entitled "A Closer Look at Real-World Patches" was accepted to ICSME 2018 <br />
[2018-05] Our paper entitled "Characterising Deprecated Android APIs" won the FOSS Impact Paper Award at MSR 2018 <br />
[2018-05] Our paper entitled "CiD: Automating the Detection of API-related Compatibility Issues in Android Apps" was accepted to ISSTA 2018 <br />
[2018-03] Our workshop proposal on Advances in Mobile App Analysis (A-Mobile 2018) was accepted to co-located with ASE 2018. </br >
[2018-03] Two papers entitled "Characterising Deprecated Android APIs" and "Why are Android Apps Removed From Google Play? A Large-scale Empirical Study" accepted to MSR 2018 <br />
[2018-02] I was invited to be a PC member for the Research Track of ICSME 2018, the best conference for Software Maintenance and Evolution <br />
[2018-02] I joined the Faculty of Information Technology, Monash University, Australia as a Lecturer <br/>
</p>
-->
<h2>Research Areas</h2>
<p>My research interests include intelligent software engineering, crowd requirements engineering, and empirical software engineering with emphasis on assisting development and improving productivity.</p>
<p><mark style="background-color: #ffff9e;">I am looking for self-motivated Ph.D. and Master students with strong programming skills and relevant research experience. Please send me an email with your CV if you are interested. </mark></p>
<p><mark style="background-color: #ffff9e;">团队常年招收博士后，博士生，硕士生，大二/大三本科实习生，访问学生。每年保研同学请务必提前联系。</mark></p>
<!-- <h2>Experience</h2>
<ul>
<li>Associate Researcher, Institute of Software, Chinese Academy of Science, 2018-now</li>
<li>Assistant Researcher, Institute of Software, Chinese Academy of Science, 2015-2018</li>
<li>Visiting Scholar, University of Southern California, 2015-2016</li>
<li>CMMI ML3 Consultant, 2011-2016</li>
</ul> -->
<h2>Teaching</h2>
<ul>
<li>Advanced Software Engineering</li>
<li>Software Process and Quality</li>
</ul>
<h2>Publications</h2>
<table cellspacing="10">
<!--
<tr>
<td><b>XXX</b></td>
<td>
</td>
</tr>
-->
<tr>
<td><b>FSE</b></td>
<td>
Fangwen Mu, Junjie Wang, <b>Lin Shi</b>, Song Wang, Shoubin Li, Qing Wang, ExpeRepair: Dual-Memory Enhanced LLM-based Repository-Level Program Repair (FSE 2026), 2026
</td>
</tr>
<tr>
<td><b>TSE</b></td>
<td>
Yike Li, Yuxia Zhang, Qunhong Zeng, <b>Lin Shi</b>, Xin Tan, Tao Wang, Yanjie Jiang, Hui Liu, An Empirical Study of Overlooked Code Review Comments in OSS Projects (TSE 2026, Journal First), 2026
</td>
</tr>
<tr>
<td><b>TSE</b></td>
<td>
Binquan Zhang, Li Zhang, Zhiwen Luo, Yuxin Du, Fang Liu, Song Wang, <b>Lin Shi</b>, Are They All Good? Evaluating the Quality of CoTs in LLM-based Code Generation (TSE 2026, Journal First), 2026
</td>
</tr>
<tr>
<td><b>TSE</b></td>
<td>
Fang Liu, Yang Liu, <b>Lin Shi</b>, Zhen Yang, Li Zhang, Xiaoli Lian, Zhongqi Li, Yuchi Ma,
Beyond Functional Correctness: Exploring Hallucinations in LLM-Generated Code
(TSE 2026, Journal First), 2026
</td>
</tr>
<tr>
<td><b>TOSEM</b></td>
<td>
Ziyou Jiang, Mingyang Li, Guowei Yang, <b>Lin Shi</b>, Junjie Wang, Qing Wang, VulRTex: A Reasoning-Guided Approach to Identify Vulnerabilities from Rich-Text Issue Reports (TOSEM 2026, Journal First), 2026
</td>
</tr>
<tr>
<td><b>FSE26</b></td>
<td>
Yuhong Liu, Yunhe Su, Zhipeng Peng, Zhiwen Luo, <b>Lin Shi</b>, Zhi Jin, Li Zhang, On the Road to Personalized Code Intelligence: Portraiting and Assisting Developers Based on Their in-IDE Behaviors (FSE 2026), 2026
</td>
</tr>
<tr>
<td><b>ICSE26</b></td>
<td>
Yang Liu, Li Zhang, Fang Liu, Zhuohang Wang, Donglin Wei, Zhishuo Yang, Kechi Zhang, Jia Li, <b>Lin Shi</b>, RepoScope: Leveraging Call Chain-Aware Multi-View Context for Repository-Level Code Generation (ICSE 2026), 2026
</td>
</tr>
<tr>
<td><b>ASE25</b></td>
<td>
Peiding Wang, Li Zhang, Fang Liu, Yinghao Zhu, Wang Xu, <b>Lin Shi</b>, Xiaoli Lian, Minxiao Li, Bo Shen, An Fu, EfficientEdit: Accelerating Code Editing via Edit-Oriented Speculative Decoding (ASE 2025), 2025
</td>
</tr>
<tr>
<td><b>ASE25</b></td>
<td>
Qianhui Zhao, Li Zhang, Fang Liu, Xiaoli Lian, Qiaoyuanhe Meng, Ziqian Jiao, Zetong Zhou, Jia Li, <b>Lin Shi</b>, FastCoder: Accelerating Repository-level Code Generation via Efficient Retrieval and Verification (ASE 2025), 2025
</td>
</tr>
<tr>
<td><b>FSE25</b></td>
<td>
Xin Tan, Xiao Long, Yinghao Zhu, <b>Lin Shi</b>, Xiaoli Lian, Li Zhang, Revolutionizing Newcomers' Onboarding Process in OSS Communities: The Future AI Mentor (FSE 2025), 2025
</td>
</tr>
<tr>
<td><b>SCIENCE CHINA Information Sciences</b></td>
<td>
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, <b>Lin SHI</b>, Bo WANG, Chong WANG, Jiayi WANG, Tiantian WANG, Jifeng XUAN, Xin XIA, Yibiao YANG, Yixin YANG, Li ZHANG, Yuming ZHOU, Lu ZHANG, Deep Learning-based Software Engineering: Progress, Challenges, and Opportunities, SCIENCE CHINA Information Sciences, 2024
</td>
</tr>
<tr>
<td><b>ICSE-Companion24</b></td>
<td>
Xiaoli Lian, Shuaisong Wang, Jieping Ma, Xin Tan, Fang Liu, <b>Lin Shi</b>, Cuiyun Gao, Li Zhang, Imperfect Code Generation: Uncovering Weaknesses in Automatic Code Generation by Large Language Models (ICSE-Companion 2024), 2024
</td>
</tr>
<tr>
<td><b>ASE24</b></td>
<td>
Ziyou Jiang, <b>Lin Shi</b>, Guowei Yang, Qing Wang, PatUntrack: Automated Generating Patch Examples for Issue Reports without Tracked Insecure Code (ASE 2024), 2024
</td>
</tr>
<tr>
<td><b>ASE24</b></td>
<td>
Di Wu, Fangwen Mu, <b>Lin Shi*</b>, Zhaoqiang Guo, Kui Liu, Weiguang Zhuang, Yuqi Zhong, Li Zhang, iSMELL: Assembling LLMs with Expert Toolsets for Code Smell Detection and Refactoring (ASE 2024), 2024
</td>
</tr>
<tr>
<td><b>TOSEM24</b></td>
<td>
Yuekai Huang, Junjie Wang, Song Wang, Moshi Wei, <b>Lin Shi</b>, Zhe Liu, Qing Wang, Deep API Sequence Generation via GoldenSolution Samples and API Seeds (TOSEM 2024), 2024
</td>
</tr>
<tr>
<td><b>TSE24</b></td>
<td>
Hanzhi Jiang, <b>Lin Shi*</b>, Meiru Che, Yuxia Zhang, Qing Wang , Bringing Open Source Communication and Development Together: A Cross-Platform Study on Gitter and GitHub (TSE 2024), 2024
</td>
</tr>
<tr>
<td><b>FSE24</b></td>
<td>
Fangwen Mu, <b>Lin Shi*</b>, Song Wang, Zhuohao Yu, Binquan Zhang, ChenXue Wang, Shichao Liu, Qing Wang, ClarifyGPT: A Framework for Enhancing LLM-based Code Generation via Requirements Clarification (FSE 2024), 2024
</td>
</tr>
<tr>
<td><b>Mathematics</b></td>
<td>
Ziyan Zhao, Li Zhang, Xiaoli Lian, Xiaoyun Gao, Heyang Lv, <b>Lin Shi</b>, ReqGen: Keywords-Driven Software Requirements Generation (Mathematics 2023, 11, 332), 2023
</td>
</tr>
<tr>
<td><b>TOSEM23</b></td>
<td>
Jiho Shin; Moshi Wei; Junjie Wang; <b>Lin Shi</b>; Song Wang, The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks (TOSEM 2023), 2023
</td>
</tr>
<tr>
<td><b>ASE23</b></td>
<td>
Ziyou Jiang, <b>Lin Shi*</b>, Guowei Yang, Qing Wang, SCPatcher: Mining Crowd Security Discussions to Enrich Secure Coding Practices (ASE 2023), 2023
</td>
</tr>
<tr>
<td><b>ICSE23</b></td>
<td>
Fangwen Mu, Xiao Chen, <b>Lin Shi*</b>, Song Wang, Qing Wang, Developer-Intent Driven Code Comment Generation (ICSE 2023), 2023
</td>
</tr>
<tr>
<td><b>软件学报</b></td>
<td>
王亚文，王俊杰，<b>石琳</b>，王青, 一种语义感知的细粒度App评论缺陷挖掘方法 (软件学报 2023), 2023
</td>
</tr>
<tr>
<td><b>ASE22</b></td>
<td>
Fangwen Mu, Xiao Chen, <b>Lin Shi*</b>, Song Wang, Qing Wang, Automatic Comment Generation via Multi-Pass Deliberation (ASE 2022), 2022
</td>
</tr>
<tr>
<td><b>FSE22</b></td>
<td>
<b>Lin Shi</b>, 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
</td>
</tr>
<tr>
<td><b>IJCAI22</b></td>
<td>
Ziyou Jiang, <b>Lin Shi*</b>, Celia Chen, Xiao Chen, Fangwen Mu, Yumin Zhang, Qing Wang, MUIDIAL: Improving Dialogue Disentanglement with Intent-Based Mutual Learning (IJCAI 2022), 2022
</td>
</tr>
<tr>
<td><b>ICSE22</b></td>
<td>
<b>Lin Shi</b>, 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
</td>
</tr>
<tr>
<td><b>ICSE22</b></td>
<td>
Yawen Wang, Junjie Wang, Hongyu Zhang, Xuran Ming, <b>Lin Shi</b>, Qing Wang, Where is Your App Frustrating Users? (ICSE 2022), 2022
</td>
</tr>
<tr>
<td><b>RE(J)22</b></td>
<td>
Zedong Peng, Prachi Rathod, Nan Niu, Tanmay Bhowmik, Hui Liu, <b>Lin Shi</b> and Zhi Jin, Testing Software's Changing Features with Environment-Driven Abstraction Identification (RE 2022), 2022
</td>
</tr>
<tr>
<td><b>RE(J)22</b></td>
<td>
Yawen Wang, <b>Lin Shi*</b>, Mingyang Li, Qing Wang, Yun Yang, Detecting Coreferent Entities in Natural Language Requirements (RE 2022), 2022
</td>
</tr>
<tr>
<td><b>IST(J)22</b></td>
<td>
Yawen Wang, Junjie Wang, Mingyang Li, <b>Lin Shi</b>, Qing Wang, Xinhua Peng, Weimin Liao, Guizhen Pi, A Multi-concern Deep Approach for Recognizing Functions from Natural-language Requirement (IST 2022), 2022
</td>
</tr>
<tr>
<td><b>IST21</b></td>
<td>
Mingyang Li, <b>Lin Shi*</b>, Yawen Wang, Junjie Wang, Qing Wang, Jun Hu, Xinhua Peng, Weimin Liao, Guizhen Pi, Automated Data Function Extraction from Textual Requirements by Leveraging Semi-Supervised CRF and Language Model (IST 2021), 2021
</td>
</tr>
<tr>
<td><b>ASE21</b></td>
<td>
<b>Lin Shi</b>, 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 <font color="#FF0000"><b>ACM SIGSOFT Distinguished Paper Award</b></font>
</td>
</tr>
<tr>
<td><b>IJCAI21</b></td>
<td>
Ziyou JIang, <b>Lin Shi*</b>, Celia Chen, Jun Hu, Qing Wang, Dialogue Disentanglement in Software Engineering: How Far are We? (IJCAI 2021), 2021
</td>
</tr>
<tr>
<td><b>ESEC/FSE21</b></td>
<td>
<b>Lin Shi</b>, 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
</td>
</tr>
<tr>
<td><b>RE21</b></td>
<td>
Zedong Peng, Prachi Rathod, Nan Niu, Tanmay Bhowmik, Hui Liu, <b>Lin Shi</b> and Zhi Jin, Environment-Driven Abstraction Identification for Requirements-Based Testing (RE 2021), 2021 <font color="#FF0000"><b>Distinguished Paper Award</b></font>
</td>
</tr>
<tr>
<td><b>RE(J)21</b></td>
<td>
<b>Lin Shi</b>, Celia Chen, Qing Wang, Barry Boehm, Automatically detecting feature requests from development emails by leveraging semantic sequence mining (RE 2021), 2021
</td>
</tr>
<tr>
<td><b>JCRD(J)21</b></td>
<td>
陈磊, 王丹丹, 王青, <b>石琳</b>, 基于图挖掘扩展学习的增强需求跟踪恢复方法 (计算机研究与发展 2021), 2021
</td>
</tr>
<tr>
<td><b>COMPSAC21</b></td>
<td>
Lei Chen, Dandan Wang, <b>Lin Shi</b>, Qing Wang, A Self-enhanced Automatic Traceability Link Recovery via Structure Knowledge Mining for Small-scale Labeled Data (COMPSAC 2021), 2021
</td>
</tr>
<tr>
<td><b>QRS21</b></td>
<td>
Dandan Wang, Qing Wang, Junjie Wang, <b>Lin Shi</b>, Accept or Not? An Empirical Study on Analyzing the Factors that Affect the Outcomes of Modern Code Review (QRS 2021), 2021
</td>
</tr>
<tr>
<td><b>ESEC/FSE20</b></td>
<td>
<b>Lin Shi</b>, 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
</td>
</tr>
<tr>
<td><b>ICSE20</b></td>
<td>
<b>Lin Shi</b>, 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
</td>
</tr>
<tr>
<td><b>ASE20</b></td>
<td>
Mingyang Li, <b>Lin Shi*</b>, Ye Yang, Qing Wang, A Deep Multitask Learning Approach for Requirements Discovery and Annotation from Open Forum (ASE 2020), 2020
</td>
</tr>
<tr>
<td><b>RE20</b></td>
<td>
Yawen Wang, <b>Lin Shi*</b>, Mingyang Li, Qing Wang, Yun Yang, A Deep Context-wise Method for Coreference Detection in Natural Language Requirements (RE 2020), 2020 <font color="#FF0000"><b>Distinguished Paper Award</b></font>
</td>
</tr>
<tr>
<td><b>RE20</b></td>
<td>
Fangwen Mu, <b>Lin Shi*</b>, Wei Zhou, Yuanzhong Zhang, Huixia Zhao, NERO: A Text-based Tool for Content Annotation and Detection of Smelly Requirements (RE 2020), 2020
</td>
</tr>
<tr>
<td><b>ICSME20</b></td>
<td>
Mingyang Li, Ye Yang, <b>Lin Shi</b>, Qing Wang, Jun Hu, Automated Extraction of Requirement Entities by Leveraging LSTM-CRF and Transfer Learning (ICSME 2020), 2020
</td>
</tr>
<tr>
<td><b>IST(J)19</b></td>
<td>
Muhammad Ilyas Azeem, Fabio Palomba, <b>Lin Shi</b>, Qing Wang, Machine learning techniques for code smell detection: A systematic literature review and meta-analysis (Information & Software Technology 2019), 2019
</td>
</tr>
<tr>
<td><b>QRS18</b></td>
<td>
Celia Chen, <b>Lin Shi</b>, 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
</td>
</tr>
<tr>
<td><b>QRS18</b></td>
<td>
Xinyue Feng, Qiusong Yang, <b>Lin Shi</b>,Qing Wang, Barry Boehm, BehaviorKI: Behavior Pattern Based Runtime Integrity Checking for Operating System Kernel (QRS 2018), 2018
</td>
</tr>
<tr>
<td><b>ASE17</b></td>
<td>
<b>Lin Shi</b>, Celia Chen, Qing Wang, Shoubin Li, and Barry Boehm, Understanding Feature Requests By Leveraging Fuzzy Method and Linguistic Analysis (ASE 2017), 2017
</td>
</tr>
<tr>
<td><b>APSEC17</b></td>
<td>
Yingling Li, <b>Lin Shi</b>, Jun Hu, Qing Wang, Jian Zhai, An Empirical Study to revisit Productivity across different programming Languages (APSEC 2017)
</td>
</tr>
<tr>
<td><b>RE16</b></td>
<td>
<b>Lin Shi</b>, 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)
</td>
</tr>
<tr>
<td><b>ICSME16</b></td>
<td>
Hong Wu, <b>Lin Shi</b>, Celia Chen, Qing Wang, Barry Boehm, Maintenance Effort Estimation for Open Source Software: A Systematic Mapping Study (ICSME 2016)
</td>
</tr>
<tr>
<td><b>SEKE16</b></td>
<td>
Hong Wu, Junjie Wang, Qing Wang, <b>Lin Shi</b>, Feng Yuan, Stage-oriented Analysis on Factors Impacting Bug Fixing Time (SEKE 2016), 2016
</td>
</tr>
<tr>
<td><b>SAC16</b></td>
<td>
Celia Chen, Reem Alfayez, Kamonphop Srisopha, <b>Lin Shi</b>, Barry Boehm, Evaluating Human-Assessed Software Maintainability Metrics (In Proc. 15th National Software Application Conference 2016)
</td>
</tr>
<tr>
<td><b>INCOSE16</b></td>
<td>
Barry Boehm, Celia Chen, Kamonphop Srisopha, <b>Lin Shi</b>, The Key Roles of Maintainability in an Ontology for System Qualities (In INCOSE International Symposium, Vol. 26, No. 1, page 2026-2040 2016)
</td>
</tr>
<tr>
<td><b>STC15</b></td>
<td>
Celia Chen, <b>Lin Shi</b>, Kamonphop Srisopha, Maintainability Index Variation Among PHP, Java, and Python Open Source Software Projects (STC 2015)
</td>
</tr>
<tr>
<td><b>RE13</b></td>
<td>
<b>Lin Shi</b>, Qing Wang, Mingshu Li, Learning From Evolution to Predict Future Requirement Changes (RE 2013)
</td>
</tr>
<tr>
<td><b>FASE11</b></td>
<td>
<b>Lin Shi</b>, 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)
</td>
</tr>
</table>
<!--
<h2>Grants</h2>
<ul>
<li>ARC Discovery Early Career Researcher Award, Sole Investigator, 200~2023</li>
<li>ARC Discovery Project, CI, 2020~2023</li>
</ul>
-->
</p>
</td>
<td width="25%" valign="top">
<!--
<h2>News</h2>
<ul>
<li>[2019-08] Our paper entitled "CDA: Characterising Deprecated Android APIs" was accepted to the Empirical Software Engineering journal</li>
<li>[2019-07] I am invited to serve as co-Chair of the Early Research Achievements Track at SANER 2020</li>
<li>[2019-06] Our papers entitled "Do Energy-oriented Changes Hinder Maintainability?" was accepted to ICSME 2019</li>
<li>[2019-05] Two papers entitled "Mining Android Crash Fixes in the Absence of Issue- and Change-Tracking Systems" and "A Large-Scale Study of Application Incompatibilities in Android" were accepted to ISSTA 2019</li>
<li>[2019-03] Our paper entitled "Dating with Scambots: Understanding the Ecosystem of Fraudulent Dating Applications" was accepted to TDSC</li>
<li>[2019-02] Our paper entitled "Negative Results on Mining Crypto-API Usage Rules in Android Apps" was accepted to MSR 2019</li>
<li>[2019-01] Our paper entitled "Rebooting Research on Detecting Repackaged Android Apps: Literature Review and Benchmark" was accepted to TSE</li>
<li>[2018-12] Our paper entitled "Want to Earn a Few Extra Bucks? A First Look at Money-making Apps" was accepted to SANER 2019</li>
<li>[2018-09] Our paper entitled "DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems" won the ACM SIGSOFT Distinguished Paper Award</li>
<li>[2018-08] Our paper entitled "Automated Testing of Android Apps: A Systematic Literature Review" was accepted to IEEE Transactions on Reliability</li>
<li>[2018-07] Our paper entitled "Beyond Google Play: A Large-Scale Comparative Study of Chinese Android App Markets" was accepted to IMC 2018</li>
<li>[2018-07] Two papers entitled "MoonlightBox: Mining Android API Histories for Uncovering Release-time Inconsistencies" and "DeepMutation: Mutation Testing of Deep Learning Systems" were accepted to ISSRE 2018</li>
<li>[2018-07] Our paper entitled "DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems" was accepted to ASE 2018</li>
<li>[2018-06] Our paper entitled "FraudDroid: Automated Ad Fraud Detection for Android Apps" was accepted to ESEC/FSE 2018</li>
<li>[2018-06] Our paper entitled "A Closer Look at Real-World Patches" was accepted to ICSME 2018</li>
<li>[2018-05] Our paper entitled "Characterising Deprecated Android APIs" won the FOSS Impact Paper Award at MSR 2018</li>
<li>[2018-05] Our paper entitled "CiD: Automating the Detection of API-related Compatibility Issues in Android Apps" was accepted to ISSTA 2018</li>
<li>[2018-03] Our workshop proposal on Advances in Mobile App Analysis (A-Mobile 2018) was accepted to co-located with ASE 2018</li>
<li>[2018-03] Two papers entitled "Characterising Deprecated Android APIs" and "Why are Android Apps Removed From Google Play? A Large-scale Empirical Study" accepted to MSR 2018</li>
<li>[2018-02] I was invited to be a PC member for the Research Track of ICSME 2018, the best conference for Software Maintenance and Evolution</li>
<li>[2018-02] I joined the Faculty of Information Technology, Monash University, Australia as a Lecturer</li>
</ul>
-->
<!--
[2017-12] One paper entitled "FaCoY – A Code-to-Code Search Engine" accepted to ICSE 2018 <br />
-->
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