Lingfeng Bao

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 55

Top Topics

Fault Localization

Project Success

Top Venues

ESEC/SIGSOFT FSE

Publications

Shengyi Pan, Lingfeng Bao, Jiayuan Zhou, Xing Hu, Xin Xia, Shanping Li
Unveil the Mystery of Critical Software Vulnerabilities. SIGSOFT FSE Companion (2024)
Shengyi Pan, Lingfeng Bao, Jiayuan Zhou, Xing Hu, Xin Xia, Shanping Li
Towards More Practical Automation of Vulnerability Assessment. ICSE (2024)
Junwei Zhang, Xing Hu, Lingfeng Bao, Xin Xia, Shanping Li
Dual Prompt-Based Few-Shot Learning for Automated Vulnerability Patch Localization. SANER (2024)
Junwei Zhang, Zhongxin Liu, Lingfeng Bao, Zhenchang Xing, Xing Hu, Xin Xia
Inside Bug Report Templates: An Empirical Study on Bug Report Templates in Open-Source Software. Internetware (2024)
Wen Li, Lingfeng Bao, Jiachi Chen, John C. Grundy, Xin Xia, Xiaohu Yang
Market Manipulation of Cryptocurrencies: Evidence from Social Media and Transaction Data. ACM Trans. Internet Techn. 24 (2) (2024)
Yubo Mai, Zhipeng Gao, Xing Hu, Lingfeng Bao, Yu Liu, Jianling Sun
Are Human Rules Necessary? Generating Reusable APIs with CoT Reasoning and In-Context Learning. CoRR (2024)
Haitian Hang, Xiu Tang, Jianling Sun, Lingfeng Bao, David Lo, Haoye Wang
Robust Auto-Scaling with Probabilistic Workload Forecasting for Cloud Databases. ICDE (2024)
Yubo Mai, Zhipeng Gao, Xing Hu, Lingfeng Bao, Yu Liu, Jianling Sun
Are Human Rules Necessary? Generating Reusable APIs with CoT Reasoning and In-Context Learning. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Junxiao Han, Yunkun Wang, Zhongxin Liu, Lingfeng Bao, Jiakun Liu, David Lo, Shuiguang Deng
Sustainability Forecasting for Deep Learning Packages. SANER (2024)
Jiaqi Wu, Lingfeng Bao, Xiaohu Yang, Xin Xia, Xing Hu
A Large-Scale Empirical Study of Open Source License Usage: Practices and Challenges. MSR (2024)
Jisheng Wang, Lingfeng Bao, Chao Ni
An Empirical Study of the Apache Voting Process on Open Source Community Governance. Internetware (2023)
Vinay Kabadi, Dezhen Kong, Siyu Xie, Lingfeng Bao, Gede Artha Azriadi Prana, Tien-Duy B. Le, Xuan-Bach Dinh Le, David Lo
The Future Can't Help Fix The Past: Assessing Program Repair In The Wild. ICSME (2023)
Lingxiao Tang, Lingfeng Bao, Xin Xia, Zhongdong Huang
Neural SZZ Algorithm. ASE (2023)
Shengyi Pan, Lingfeng Bao, Xin Xia, David Lo, Shanping Li
Fine-grained Commit-level Vulnerability Type Prediction by CWE Tree Structure. ICSE (2023)
Kedi Shen, Yun Zhang, Lingfeng Bao, Zhiyuan Wan, Zhuorong Li, Minghui Wu
Patchmatch: A Tool for Locating Patches of Open Source Project Vulnerabilities. ICSE Companion (2023)
Shengyi Pan, Jiayuan Zhou, Filipe Roseiro Côgo, Xin Xia, Lingfeng Bao, Xing Hu, Shanping Li, Ahmed E. Hassan
Automated unearthing of dangerous issue reports. ESEC/SIGSOFT FSE (2022)
Qiuyuan Chen, Dezhen Kong, Lingfeng Bao, Chenxing Sun, Xin Xia, Shanping Li
Code Reviewer Recommendation in Tencent: Practice, Challenge, and Direction. ICSE (SEIP) (2022)
Jiri Gesi, Siqi Liu, Jiawei Li, Iftekhar Ahmed, Nachiappan Nagappan, David Lo, Eduardo Santana de Almeida, Pavneet Singh Kochhar, Lingfeng Bao
Code Smells in Machine Learning Systems. CoRR (2022)
Dezhen Kong, Qiuyuan Chen, Lingfeng Bao, Chenxing Sun, Xin Xia, Shanping Li
Recommending Code Reviewers for Proprietary Software Projects: A Large Scale Study. SANER (2022)
Lingfeng Bao, Xin Xia, Ahmed E. Hassan, Xiaohu Yang
V-SZZ: Automatic Identification of Version Ranges Affected by CVE Vulnerabilities. ICSE (2022)
Lingfeng Bao, Tao Li, Xin Xia, Kaiyu Zhu, Hui Li, Xiaohu Yang
How does working from home affect developer productivity? - A case study of Baidu during the COVID-19 pandemic. Sci. China Inf. Sci. 65 (4) (2022)
Shengyi Pan, Lingfeng Bao, Xiaoxue Ren, Xin Xia, David Lo, Shanping Li
Automating Developer Chat Mining. ASE (2021)
Lingfeng Bao, Xin Xia, David Lo, Gail C. Murphy
A Large Scale Study of Long-Time Contributor Prediction for GitHub Projects. IEEE Trans. Software Eng. 47 (6) (2021)
Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Minghui Wu, Xiaohu Yang
psc2code: Denoising Code Extraction from Programming Screencasts. CoRR (2021)
Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Minghui Wu, Xiaohu Yang
psc2code: Denoising Code Extraction from Programming Screencasts. ACM Trans. Softw. Eng. Methodol. 29 (3) (2020)
Lingfeng Bao, Tao Li, Xin Xia, Kaiyu Zhu, Hui Li, Xiaohu Yang
How does Working from Home Affect Developer Productivity? - A Case Study of Baidu During COVID-19 Pandemic. CoRR (2020)
Lingfeng Bao, Shengyi Pan, Zhenchang Xing, Xin Xia, David Lo, Xiaohu Yang
Enhancing developer interactions with programming screencasts through accurate code extraction. ESEC/SIGSOFT FSE (2020)
Lingfeng Bao, Nimrod Busany, David Lo, Shahar Maoz
Statistical Log Differencing. ASE (2019)
Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo
VT-Revolution: Interactive Programming Video Tutorial Authoring and Watching System. IEEE Trans. Software Eng. 45 (8) (2019)
Zhiyuan Wan, Lingfeng Bao, Debin Gao, Eran Toch, Xin Xia, Tamir Mendel, David Lo
AppMoD: Helping Older Adults Manage Mobile Security with Online Social Help. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3 (4) (2019)
Xuan-Bach Dinh Le, Lingfeng Bao, David Lo, Xin Xia, Shanping Li, Corina S. Pasareanu
On reliability of patch correctness assessment. ICSE (2019)
Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Ahmed E. Hassan
Inference of development activities from interaction with uninstrumented applications. Empir. Softw. Eng. 23 (3) (2018)
Tien-Duy B. Le, Lingfeng Bao, David Lo
DSM: a specification mining tool using recurrent neural network based language model. ESEC/SIGSOFT FSE (2018)
Xuejiao Zhao, Hongwei Li, Yutian Tang, Dongjing Gao, Lingfeng Bao, Ching-Hung Lee
A Smart Context-Aware Program Assistant Based on Dynamic Programming Event Modeling. ISSRE Workshops (2018)
Tien-Duy B. Le, Lingfeng Bao, David Lo, Debin Gao, Li Li
Towards Mining Comprehensive Android Sandboxes. ICECCS (2018)
Xiaoxue Ren, Qiao Huang, Xin Xia, Zhenchang Xing, Lingfeng Bao, David Lo
Characterizing Common and Domain-Specific Package Bugs: A Case Study on Ubuntu. COMPSAC (1) (2018)
Qiuyuan Chen, Lingfeng Bao, Li Li, Xin Xia, Liang Cai
Categorizing and Predicting Invalid Vulnerabilities on Common Vulnerabilities and Exposures. APSEC (2018)
Lingfeng Bao, Tien-Duy B. Le, David Lo
Mining sandboxes: Are we there yet? SANER (2018)
Xuan-Bach Dinh Le, Lingfeng Bao, David Lo, Xin Xia, Shanping Li
On Reliability of Patch Correctness Assessment. CoRR (2018)
Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Shanping Li
VT-revolution: interactive programming tutorials made possible. ESEC/SIGSOFT FSE (2018)
Xin Xia, Lingfeng Bao, David Lo, Zhenchang Xing, Ahmed E. Hassan, Shanping Li
Measuring Program Comprehension: A Large-Scale Field Study with Professionals. IEEE Trans. Software Eng. 44 (10) (2018)
Xin Xia, Lingfeng Bao, David Lo, Zhenchang Xing, Ahmed E. Hassan, Shanping Li
Measuring program comprehension: a large-scale field study with professionals. ICSE (2018)
Deheng Ye, Lingfeng Bao, Zhenchang Xing, Shang-Wei Lin
APIReal: an API recognition and linking approach for online developer forums. Empir. Softw. Eng. 23 (6) (2018)
Hen Amar, Lingfeng Bao, Nimrod Busany, David Lo, Shahar Maoz
Using finite-state models for log differencing. ESEC/SIGSOFT FSE (2018)
Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Ahmed E. Hassan
Inference of development activities from interaction with uninstrumented applications. ICSE (2018)
Lingfeng Bao, Jing Li, Zhenchang Xing, Xinyu Wang, Xin Xia, Bo Zhou
Extracting and analyzing time-series HCI data from screen-captured task videos. Empir. Softw. Eng. 22 (1) (2017)
Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Shanping Li
Who will leave the company?: a large-scale industry study of developer turnover by mining monthly work report. MSR (2017)
Xin Xia, David Lo, Lingfeng Bao, Abhishek Sharma, Shanping Li
Personality and Project Success: Insights from a Large-Scale Study with Professionals. ICSME (2017)
Lingfeng Bao, David Lo, Xin Xia, Shanping Li
Automated Android application permission recommendation. Sci. China Inf. Sci. 60 (9) (2017)
Xin Xia, Lingfeng Bao, David Lo, Pavneet Singh Kochhar, Ahmed E. Hassan, Zhenchang Xing
What do developers search for on the web? Empir. Softw. Eng. 22 (6) (2017)
Xinli Yang, David Lo, Xin Xia, Lingfeng Bao, Jianling Sun
Combining Word Embedding with Information Retrieval to Recommend Similar Bug Reports. ISSRE (2016)
Lingfeng Bao, David Lo, Xin Xia, Shanping Li
What Permissions Should This Android App Request? SATE (2016)
Xin Xia, Lingfeng Bao, David Lo, Shanping Li
"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. ICSME (2016)
Jing Li, Lingfeng Bao, Zhenchang Xing, Xinyu Wang, Bo Zhou
BPMiner: mining developers' behavior patterns from screen-captured task videos. SAC (2016)
Lingfeng Bao, David Lo, Xin Xia, Xinyu Wang, Cong Tian
How android app developers manage power consumption?: an empirical study by mining power management commits. MSR (2016)
Hongwei Li, Xuejiao Zhao, Zhenchang Xing, Lingfeng Bao, Xin Peng, Dongjing Gao, Wenyun Zhao
amAssist: In-IDE ambient search of online programming resources. SANER (2015)
Lingfeng Bao, Zhenchang Xing, Xinyu Wang, Bo Zhou
Tracking and Analyzing Cross-Cutting Activities in Developers' Daily Work (N). ASE (2015)
Lingfeng Bao, Jing Li, Zhenchang Xing, Xinyu Wang, Bo Zhou
Reverse engineering time-series interaction data from screen-captured videos. SANER (2015)
Lingfeng Bao, Jing Li, Zhenchang Xing, Xinyu Wang, Bo Zhou
scvRipper: Video Scraping Tool for Modeling Developers' Behavior Using Interaction Data. ICSE (2) (2015)
Lingfeng Bao, Deheng Ye, Zhenchang Xing, Xin Xia, Xinyu Wang
ActivitySpace: A Remembrance Framework to Support Interapplication Information Needs. ASE (2015)