scvRipper: Video Scraping Tool for Modeling Developers' Behavior Using Interaction Data. - Lingfeng Bao; Jing Li 034; Zhenchang Xing; Xinyu Wang 001; Bo Zhou 010 (ICSE (2), 2015)

Tracking and Analyzing Cross-Cutting Activities in Developers' Daily Work (N). - Lingfeng Bao; Zhenchang Xing; Xinyu Wang 001; Bo Zhou 010 (ASE, 2015)

ActivitySpace: A Remembrance Framework to Support Interapplication Information Needs. - Lingfeng Bao; Deheng Ye; Zhenchang Xing; Xin Xia 001; Xinyu Wang 001 (ASE, 2015)

Reverse engineering time-series interaction data from screen-captured videos. - Lingfeng Bao; Jing Li 034; Zhenchang Xing; Xinyu Wang 001; Bo Zhou 010 (SANER, 2015)

amAssist: In-IDE ambient search of online programming resources. - Hongwei Li 017; Xuejiao Zhao; Zhenchang Xing; Lingfeng Bao; Xin Peng 001; Dongjing Gao; Wenyun Zhao (SANER, 2015)

"Automated Debugging Considered Harmful" Considered Harmful: A User Study Revisiting the Usefulness of Spectra-Based Fault Localization Techniques with Professionals Using Real Bugs from Large Systems. - Xin Xia 001; Lingfeng Bao; David Lo 001; Shanping Li (ICSME, 2016)

Combining Word Embedding with Information Retrieval to Recommend Similar Bug Reports. - Xinli Yang; David Lo 001; Xin Xia 001; Lingfeng Bao; Jianling Sun (ISSRE, 2016)

How android app developers manage power consumption?: an empirical study by mining power management commits. - Lingfeng Bao; David Lo 001; Xin Xia 001; Xinyu Wang 001; Cong Tian (MSR, 2016)

BPMiner: mining developers' behavior patterns from screen-captured task videos. - Jing Li 034; Lingfeng Bao; Zhenchang Xing; Xinyu Wang 001; Bo Zhou 010 (SAC, 2016)

What Permissions Should This Android App Request? - Lingfeng Bao; David Lo 001; Xin Xia 001; Shanping Li (SATE, 2016)

Personality and Project Success: Insights from a Large-Scale Study with Professionals. - Xin Xia 001; David Lo 001; Lingfeng Bao; Abhishek Sharma 002; Shanping Li (ICSME, 2017)

Who will leave the company?: a large-scale industry study of developer turnover by mining monthly work report. - Lingfeng Bao; Zhenchang Xing; Xin Xia 001; David Lo 001; Shanping Li (MSR, 2017)

Automated Android application permission recommendation. - Lingfeng Bao; David Lo 001; Xin Xia 001; Shanping Li (Sci. China Inf. Sci., 2017)

Extracting and analyzing time-series HCI data from screen-captured task videos. - Lingfeng Bao; Jing Li 034; Zhenchang Xing; Xinyu Wang 001; Xin Xia 001; Bo Zhou 010 (Empir. Softw. Eng., 2017)

What do developers search for on the web? - Xin Xia 001; Lingfeng Bao; David Lo 001; Pavneet Singh Kochhar; Ahmed E. Hassan; Zhenchang Xing (Empir. Softw. Eng., 2017)

Categorizing and Predicting Invalid Vulnerabilities on Common Vulnerabilities and Exposures. - Qiuyuan Chen; Lingfeng Bao; Li Li 029; Xin Xia 001; Liang Cai (APSEC, 2018)

Characterizing Common and Domain-Specific Package Bugs: A Case Study on Ubuntu. - Xiaoxue Ren; Qiao Huang; Xin Xia 001; Zhenchang Xing; Lingfeng Bao; David Lo 001 (COMPSAC (1), 2018)

Towards Mining Comprehensive Android Sandboxes. - Tien-Duy B. Le; Lingfeng Bao; David Lo 001; Debin Gao; Li Li 029 (ICECCS, 2018)

A Smart Context-Aware Program Assistant Based on Dynamic Programming Event Modeling. - Xuejiao Zhao; Hongwei Li 017; Yutian Tang; Dongjing Gao; Lingfeng Bao; Ching-Hung Lee (ISSRE Workshops, 2018)

Using finite-state models for log differencing. - Hen Amar; Lingfeng Bao; Nimrod Busany; David Lo 001; Shahar Maoz (ESEC/SIGSOFT FSE, 2018)

VT-revolution: interactive programming tutorials made possible. - Lingfeng Bao; Zhenchang Xing; Xin Xia 001; David Lo 001; Shanping Li (ESEC/SIGSOFT FSE, 2018)

DSM: a specification mining tool using recurrent neural network based language model. - Tien-Duy B. Le; Lingfeng Bao; David Lo 001 (ESEC/SIGSOFT FSE, 2018)

Mining sandboxes: Are we there yet? - Lingfeng Bao; Tien-Duy B. Le; David Lo 001 (SANER, 2018)

On Reliability of Patch Correctness Assessment. - Xuan-Bach Dinh Le 001; Lingfeng Bao; David Lo 001; Xin Xia 001; Shanping Li (CoRR, 2018)

Inference of development activities from interaction with uninstrumented applications. - Lingfeng Bao; Zhenchang Xing; Xin Xia 001; David Lo 001; Ahmed E. Hassan (Empir. Softw. Eng., 2018)

APIReal: an API recognition and linking approach for online developer forums. - Deheng Ye; Lingfeng Bao; Zhenchang Xing; Shang-Wei Lin 001 (Empir. Softw. Eng., 2018)

Measuring Program Comprehension: A Large-Scale Field Study with Professionals. - Xin Xia 001; Lingfeng Bao; David Lo 001; Zhenchang Xing; Ahmed E. Hassan; Shanping Li (IEEE Trans. Software Eng., 2018)

On reliability of patch correctness assessment. - Xuan-Bach Dinh Le 001; Lingfeng Bao; David Lo 001; Xin Xia 001; Shanping Li; Corina S. Pasareanu (ICSE, 2019)

Statistical Log Differencing. - Lingfeng Bao; Nimrod Busany; David Lo 001; Shahar Maoz (ASE, 2019)

AppMoD: Helping Older Adults Manage Mobile Security with Online Social Help. - Zhiyuan Wan; Lingfeng Bao; Debin Gao; Eran Toch; Xin Xia 001; Tamir Mendel; David Lo 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

VT-Revolution: Interactive Programming Video Tutorial Authoring and Watching System. - Lingfeng Bao; Zhenchang Xing; Xin Xia 001; David Lo 001 (IEEE Trans. Software Eng., 2019)

Enhancing developer interactions with programming screencasts through accurate code extraction. - Lingfeng Bao; Shengyi Pan; Zhenchang Xing; Xin Xia 001; David Lo 001; Xiaohu Yang 001 (ESEC/SIGSOFT FSE, 2020)

psc2code: Denoising Code Extraction from Programming Screencasts. - Lingfeng Bao; Zhenchang Xing; Xin Xia 001; David Lo 001; Minghui Wu 001; Xiaohu Yang 001 (ACM Trans. Softw. Eng. Methodol., 2020)

Automating Developer Chat Mining. - Shengyi Pan; Lingfeng Bao; Xiaoxue Ren; Xin Xia 001; David Lo 001; Shanping Li (ASE, 2021)

A Large Scale Study of Long-Time Contributor Prediction for GitHub Projects. - Lingfeng Bao; Xin Xia 001; David Lo 001; Gail C. Murphy (IEEE Trans. Software Eng., 2021)

V-SZZ: Automatic Identification of Version Ranges Affected by CVE Vulnerabilities. - Lingfeng Bao; Xin Xia 001; Ahmed E. Hassan; Xiaohu Yang 001 (ICSE, 2022)

Code Reviewer Recommendation in Tencent: Practice, Challenge, and Direction. - Qiuyuan Chen; Dezhen Kong; Lingfeng Bao; Chenxing Sun; Xin Xia 001; Shanping Li (ICSE (SEIP), 2022)

Automated unearthing of dangerous issue reports. - Shengyi Pan; Jiayuan Zhou; Filipe Roseiro Côgo; Xin Xia 001; Lingfeng Bao; Xing Hu 008; Shanping Li; Ahmed E. Hassan (ESEC/SIGSOFT FSE, 2022)

Recommending Code Reviewers for Proprietary Software Projects: A Large Scale Study. - Dezhen Kong; Qiuyuan Chen; Lingfeng Bao; Chenxing Sun; Xin Xia 001; Shanping Li (SANER, 2022)

How does working from home affect developer productivity? - A case study of Baidu during the COVID-19 pandemic. - Lingfeng Bao; Tao Li; Xin Xia 001; Kaiyu Zhu; Hui Li; Xiaohu Yang 001 (Sci. China Inf. Sci., 2022)

Code Smells in Machine Learning Systems. - Jiri Gesi; Siqi Liu; Jiawei Li 013; Iftekhar Ahmed 001; Nachiappan Nagappan; David Lo 001; Eduardo Santana de Almeida; Pavneet Singh Kochhar; Lingfeng Bao (CoRR, 2022)

Fine-grained Commit-level Vulnerability Type Prediction by CWE Tree Structure. - Shengyi Pan; Lingfeng Bao; Xin Xia 001; David Lo 001; Shanping Li (ICSE, 2023)

Patchmatch: A Tool for Locating Patches of Open Source Project Vulnerabilities. - Kedi Shen; Yun Zhang 011; Lingfeng Bao; Zhiyuan Wan; Zhuorong Li; Minghui Wu 001 (ICSE Companion, 2023)

The Future Can't Help Fix The Past: Assessing Program Repair In The Wild. - Vinay Kabadi; Dezhen Kong; Siyu Xie; Lingfeng Bao; Gede Artha Azriadi Prana; Tien-Duy B. Le; Xuan-Bach Dinh Le 001; David Lo 001 (ICSME, 2023)

An Empirical Study of the Apache Voting Process on Open Source Community Governance. - Jisheng Wang; Lingfeng Bao; Chao Ni 001 (Internetware, 2023)

Neural SZZ Algorithm. - Lingxiao Tang; Lingfeng Bao; Xin Xia 001; Zhongdong Huang (ASE, 2023)

Analyzing and Detecting Toxicities in Developer Online Chatrooms: A Fine-Grained Taxonomy and Automated Detection Approach. - Junyi Tian; Lingfeng Bao; Shengyi Pan; Xing Hu 008 (APSEC, 2024)

Automatic Commit Range Identification of Untagged Version. - Yan Zhu; Lingfeng Bao; Chengjie Chen; Lexiao Zhang; Xin Yin; Chao Ni 001 (APSEC, 2024)

Robust Auto-Scaling with Probabilistic Workload Forecasting for Cloud Databases. - Haitian Hang; Xiu Tang; Jianling Sun; Lingfeng Bao; David Lo 001; Haoye Wang (ICDE, 2024)

Towards More Practical Automation of Vulnerability Assessment. - Shengyi Pan; Lingfeng Bao; Jiayuan Zhou; Xing Hu 008; Xin Xia 001; Shanping Li (ICSE, 2024)

Inside Bug Report Templates: An Empirical Study on Bug Report Templates in Open-Source Software. - Junwei Zhang; Zhongxin Liu 002; Lingfeng Bao; Zhenchang Xing; Xing Hu 008; Xin Xia 001 (Internetware, 2024)

Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks. - Jiawei Lu; Haoye Wang; Zhongxin Liu 002; Keyu Liang; Lingfeng Bao; Xiaohu Yang 001 (ASE, 2024)

A Large-Scale Empirical Study of Open Source License Usage: Practices and Challenges. - Jiaqi Wu; Lingfeng Bao; Xiaohu Yang 001; Xin Xia 001; Xing Hu 008 (MSR, 2024)

Unveil the Mystery of Critical Software Vulnerabilities. - Shengyi Pan; Lingfeng Bao; Jiayuan Zhou; Xing Hu 008; Xin Xia 001; Shanping Li (SIGSOFT FSE Companion, 2024)

Sustainability Forecasting for Deep Learning Packages. - Junxiao Han; Yunkun Wang; Zhongxin Liu 002; Lingfeng Bao; Jiakun Liu; David Lo 001; Shuiguang Deng (SANER, 2024)

Dual Prompt-Based Few-Shot Learning for Automated Vulnerability Patch Localization. - Junwei Zhang; Xing Hu 008; Lingfeng Bao; Xin Xia 001; Shanping Li (SANER, 2024)

Towards Better Comprehension of Breaking Changes in the NPM Ecosystem. - Dezhen Kong; Jiakun Liu; Lingfeng Bao; David Lo 001 (CoRR, 2024)

Are Human Rules Necessary? Generating Reusable APIs with CoT Reasoning and In-Context Learning. - Yubo Mai; Zhipeng Gao 002; Xing Hu 008; Lingfeng Bao; Yu Liu; Jianling Sun (Proc. ACM Softw. Eng., 2024)

Market Manipulation of Cryptocurrencies: Evidence from Social Media and Transaction Data. - Wen Li; Lingfeng Bao; Jiachi Chen; John C. Grundy; Xin Xia 001; Xiaohu Yang 001 (ACM Trans. Internet Techn., 2024)

Enhancing Bug-Inducing Commit Identification: A Fine-Grained Semantic Analysis Approach. - Lingxiao Tang; Chao Ni 001; Qiao Huang; Lingfeng Bao (IEEE Trans. Software Eng., 2024)

A Comprehensive Study of Bug Characteristics on Foundation Language Models. - Junxiao Han; Guanqi Wang; Jiakun Liu; Lingfeng Bao; Xing Hu 008; Jinling Wei; Shuiguang Deng (Forge@ICSE, 2025)

Code2API: A Tool for Generating Reusable APIs from Stack Overflow Code Snippets. - Yubo Mai; Zhipeng Gao 002; Xing Hu 008; Lingfeng Bao; Jingyuan Chen; Jianling Sun (ISSTA Companion, 2025)

E-PRedictor: an approach for early prediction of pull request acceptance. - Kexing Chen; Lingfeng Bao; Xing Hu 008; Xin Xia 001; Xiaohu Yang 001 (Sci. China Inf. Sci., 2025)

More Effective JavaScript Breaking Change Detection via Dynamic Object Relation Graph. - Dezhen Kong; Jiakun Liu; Chao Ni 001; David Lo 001; Lingfeng Bao (Proc. ACM Softw. Eng., 2025)

LLM4SZZ: Enhancing SZZ Algorithm with Context-Enhanced Assessment on Large Language Models. - Lingxiao Tang; Jiakun Liu; Zhongxin Liu 002; Xiaohu Yang 001; Lingfeng Bao (Proc. ACM Softw. Eng., 2025)

FAIT: Fault-Aware Fine-Tuning for Better Code Generation. - Lishui Fan; Zhongxin Liu 002; Haoye Wang; Lingfeng Bao; Xin Xia 001; Shanping Li (CoRR, 2025)

Automating Comment Generation for Smart Contract from Bytecode. - Jianhang Xiang; Zhipeng Gao 002; Lingfeng Bao; Xing Hu 008; Jiayuan Chen 003; Xin Xia 001 (ACM Trans. Softw. Eng. Methodol., 2025)

Bibliometric Analysis of Scientific Publications on Blockchain Research and Applications. - Lingfeng Bao; Jiameng Yang; Xiaohu Yang 001; Chunming Rong (CoRR, 2025)

Toward Better Comprehension of Breaking Changes in the NPM Ecosystem. - Dezhen Kong; Jiakun Liu; Lingfeng Bao; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2025)

CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning. - Lingxiao Tang; He Ye; Zhongxin Liu 002; Xiaoxue Ren; Lingfeng Bao (CoRR, 2025)