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Na Meng 0001
Person information
- affiliation: Virginia Tech, Blacksburg, VA, USA
- affiliation (PhD 2014): University of Texas at Austin, USA
Other persons with the same name
- Na Meng 0002
— Northwest University, School of Information Science and Technology, Xi'an, China (and 1 more)
- Na Meng 0003 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing, China
- Na Meng 0004 — Jinling Institute of Technology, Nanjing, China
- Na Meng 0005 — Open University of Shaanxi, China
- Na Meng 0006 — Beijing Jiaotong University, Key Lab of Traffic Data Analysis and Mining, China
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2020 – today
- 2024
- [j17]Bowen Shen, Na Meng
ConflictBench: A benchmark to evaluate software merge tools. J. Syst. Softw. 214: 112084 (2024) - [j16]Ya Xiao
Measurement of Embedding Choices on Cryptographic API Completion Tasks. ACM Trans. Softw. Eng. Methodol. 33(3): 56:1-56:30 (2024) - [j15]Wen Li
How Are Multilingual Systems Constructed: Characterizing Language Use and Selection in Open-Source Multilingual Software. ACM Trans. Softw. Eng. Methodol. 33(3): 63:1-63:46 (2024) - [j14]Miles Frantz
Methods and Benchmark for Detecting Cryptographic API Misuses in Python. IEEE Trans. Software Eng. 50(5): 1118-1129 (2024) - [c50]Hao Zhong
Compiler-directed Migrating API Callsite of Client Code. ICSE 2024: 226:1-226:12 - [c49]Ying Zhang
Broadly Enabling KLEE to Effortlessly Find Unrecoverable Errors in Rust. ICSE-SEIP 2024: 441-451 - [c48]Waad Aldndni
Understanding the Impact of Branch Edit Features for the Automatic Prediction of Merge Conflict Resolutions. ICPC 2024: 149-160 - [c47]Juntong Chen
How Do Developers Reuse StackOverflow Answers in Their GitHub Projects? ASE Workshops 2024: 146-155 - [i20]Sheik Murad Hassan Anik, Xinghua Gao, Hao Zhong, Xiaoyin Wang, Na Meng:
Automation Configuration in Smart Home Systems: Challenges and Opportunities. CoRR abs/2408.04755 (2024) - [i19]Sajib Acharjee Dip, Kazi Hasan Ibn Arif, Uddip Acharjee Shuvo, Ishtiaque Ahmed Khan, Na Meng:
Equitable Skin Disease Prediction Using Transfer Learning and Domain Adaptation. CoRR abs/2409.00873 (2024) - 2023
- [j13]Fengmin Zhu
On the methodology of three-way structured merge in version control systems: Top-down, bottom-up, or both. J. Syst. Archit. 145: 103011 (2023) - [j12]Waad Aldndni, Na Meng
Automatic prediction of developers' resolutions for software merge conflicts. J. Syst. Softw. 206: 111836 (2023) - [j11]Bowen Shen
A Characterization Study of Merge Conflicts in Java Projects. ACM Trans. Softw. Eng. Methodol. 32(2): 40:1-40:28 (2023) - [j10]Foyzul Hassan
UniLoc: Unified Fault Localization of Continuous Integration Failures. ACM Trans. Softw. Eng. Methodol. 32(6): 136:1-136:31 (2023) - [j9]Ying Zhang
Automatic Detection of Java Cryptographic API Misuses: Are We There Yet? IEEE Trans. Software Eng. 49(1): 288-303 (2023) - [c46]Xiaoyin Wang, Tahmid Rafi
VRGuide: Efficient Testing of Virtual Reality Scenes via Dynamic Cut Coverage. ASE 2023: 951-962 - [c45]Tung Dao
Triggering Modes in Spectrum-Based Multi-location Fault Localization. ESEC/SIGSOFT FSE 2023: 1774-1785 - [i18]Wenjia Song, Sanjula Karanam, Ya Xiao, Jingyuan Qi, Nathan Dautenhahn, Na Meng, Danfeng Yao:
Crypto-ransomware Detection through Quantitative API-based Behavioral Profiling. CoRR abs/2306.02270 (2023) - [i17]Juntong Chen, Kulendra Kumar Kaushal, Rutwik Kulkarni, Na Meng:
How Do Java Developers Reuse StackOverflow Answers in Their GitHub Projects? CoRR abs/2308.09573 (2023) - [i16]Ying Zhang, Wenjia Song, Zhengjie Ji, Danfeng Yao, Na Meng:
How well does LLM generate security tests? CoRR abs/2310.00710 (2023) - [i15]Md Mahir Asef Kabir, Sk Adnan Hassan, Xiaoyin Wang, Ying Wang, Hai Yu, Na Meng:
An empirical study of ChatGPT-3.5 on question answering and code maintenance. CoRR abs/2310.02104 (2023) - 2022
- [j8]Xiao He, Zhenjiang Hu, Na Meng:
A theoretic framework of bidirectional transformation between systems and models. Sci. China Inf. Sci. 65(10) (2022) - [j7]Danfeng Daphne Yao
Being the Developers' Friend: Our Experience Developing a High-Precision Tool for Secure Coding. IEEE Secur. Priv. 20(6): 43-52 (2022) - [c44]Ya Xiao, Salman Ahmed, Xinyang Ge, Bimal Viswanath, Na Meng, Danfeng Daphne Yao:
Poster: Comprehensive Comparisons of Embedding Approaches for Cryptographic API Completion. ICSE-Companion 2022: 360-361 - [c43]Ying Zhang, Ya Xiao, Md Mahir Asef Kabir, Danfeng (Daphne) Yao, Na Meng:
Example-based vulnerability detection and repair in Java code. ICPC 2022: 190-201 - [c42]Sheikh Shadab Towqir
Detecting Build Conflicts in Software Merge for Java Programs via Static Analysis. ASE 2022: 33:1-33:13 - [c41]Md Mahir Asef Kabir, Ying Wang, Danfeng Yao, Na Meng:
How Do Developers Follow Security-Relevant Best Practices When Using NPM Packages? SecDev 2022: 77-83 - [c40]Fengmin Zhu
Mastery: Shifted-Code-Aware Structured Merging. SETTA 2022: 70-87 - [c39]Yan Zhao, Enyi Tang, Haipeng Cai
A Lightweight Approach of Human-Like Playtest for Android Apps. SANER 2022: 309-320 - [i14]Ying Zhang, Ya Xiao, Md Mahir Asef Kabir, Danfeng Yao, Na Meng:
Example-Based Vulnerability Detection and Repair in Java Code. CoRR abs/2203.09009 (2022) - [i13]Sheik Murad Hassan Anik, Xinghua Gao
Machine learning approach in the development of building occupant personas. CoRR abs/2207.11239 (2022) - 2021
- [j6]Zijian Jiang, Hao Zhong
Investigating and recommending co-changed entities for JavaScript programs. J. Syst. Softw. 180: 111027 (2021) - [j5]Shaikh Mostafa, Bridgette Findley, Na Meng, Xiaoyin Wang
Sais: Self-Adaptive Identification of Security Bug Reports. IEEE Trans. Dependable Secur. Comput. 18(4): 1779-1792 (2021) - [c38]Ying Wang, Liang Qiao, Chang Xu, Yepang Liu, Shing-Chi Cheung
HERO: On the Chaos When PATH Meets Modules. ICSE 2021: 99-111 - [c37]Wen Li, Na Meng, Li Li, Haipeng Cai
Understanding Language Selection in Multi-language Software Projects on GitHub. ICSE (Companion Volume) 2021: 256-257 - [c36]Tung Dao, Max Wang, Na Meng:
Exploring the Triggering Modes of Spectrum-Based Fault Localization: An Industrial Case. ICST 2021: 406-416 - [c35]Na Meng, Zijian Jiang, Hao Zhong
Classifying Code Commits with Convolutional Neural Networks. IJCNN 2021: 1-8 - [c34]Shu Lin
PDL: Scaffolding Problem Solving in Programming Courses. ITiCSE (1) 2021: 185-191 - [c33]Shu Lin, Na Meng, Wenxin Li:
Generating efficient solvers from constraint models. ESEC/SIGSOFT FSE 2021: 956-967 - [p3]Liuqing Li, He Feng, Na Meng, Barbara G. Ryder:
CCLearner: Clone Detection via Deep Learning. Code Clone Analysis 2021: 75-89 - [i12]Ying Zhang, Mahir Kabir, Ya Xiao, Danfeng Yao, Na Meng:
Data-Driven Vulnerability Detection and Repair in Java Code. CoRR abs/2102.06994 (2021) - [i11]Zijian Jiang, Hao Zhong, Na Meng:
Investigating and Recommending Co-Changed Entities for JavaScript Programs. CoRR abs/2102.07877 (2021) - [i10]Bowen Shen, Cihan Xiao, Na Meng, Fei He:
Automatic Detection and Resolution of Software Merge Conflicts: Are We There Yet? CoRR abs/2102.11307 (2021) - [i9]Ying Wang, Liang Qiao, Chang Xu, Yepang Liu, Shing-Chi Cheung, Na Meng, Hai Yu, Zhiliang Zhu:
Hero: On the Chaos When PATH Meets Modules. CoRR abs/2102.12105 (2021) - [i8]Yan Zhao, Weihao Zhang, Enyi Tang, Haipeng Cai, Xi Guo, Na Meng:
A Lightweight Approach of Human-Like Playtesting. CoRR abs/2102.13026 (2021) - [i7]Hao Zhong, Na Meng:
Migrating Client Code without Change Examples. CoRR abs/2105.02389 (2021) - [i6]Yunlong Lu, Na Meng, Wenxin Li:
FAPR: Fast and Accurate Program Repair for Introductory Programming Courses. CoRR abs/2107.06550 (2021) - [i5]Sheik Anik, Xinghua Gao, Na Meng, Philip Agee, Andrew McCoy:
A Cost-Effective, Scalable, and Portable IoT Data Infrastructure for Indoor Environment Sensing. CoRR abs/2110.14042 (2021) - 2020
- [j4]Zijian Jiang, Ye Wang, Hao Zhong
Automatic method change suggestion to complement multi-entity edits. J. Syst. Softw. 159 (2020) - [c32]Sazzadur Rahaman, Ya Xiao, Sharmin Afrose, Ke Tian, Miles Frantz, Na Meng, Barton P. Miller, Fahad Shaon, Murat Kantarcioglu, Danfeng (Daphne) Yao
Deployment-quality and Accessible Solutions for Cryptography Code Development. CODASPY 2020: 174-176 - [c31]Hao Zhong
An empirical study on API parameter rules. ICSE 2020: 899-911 - [c30]Pronnoy Goswami, Saksham Gupta, Zhiyuan Li, Na Meng, Danfeng Daphne Yao:
Investigating The Reproducibility of NPM Packages. ICSME 2020: 677-681 - [c29]Chengyuan Wen, Yaxuan Zhang, Xiao He, Na Meng:
Inferring and Applying Def-Use Like Configuration Couplings in Deployment Descriptors. ASE 2020: 672-683 - [c28]Mazharul Islam, Sazzadur Rahaman, Na Meng, Behnaz Hassanshahi, Padmanabhan Krishnan, Danfeng Daphne Yao
Coding Practices and Recommendations of Spring Security for Enterprise Applications. SecDev 2020: 49-57 - [i4]Mazharul Islam, Sazzadur Rahaman, Na Meng, Behnaz Hassanshahi, Padmanabhan Krishnan, Danfeng Yao:
Coding Practices and Recommendations of Spring Security for Enterprise Applications. CoRR abs/2007.14319 (2020)
2010 – 2019
- 2019
- [j3]Haipeng Cai
DroidCat: Effective Android Malware Detection and Categorization via App-Level Profiling. IEEE Trans. Inf. Forensics Secur. 14(6): 1455-1470 (2019) - [c27]Sazzadur Rahaman, Ya Xiao, Sharmin Afrose, Ke Tian, Miles Frantz
Poster: Deployment-quality and Accessible Solutions for Cryptography Code Development. CCS 2019: 2545-2547 - [c26]Mengsu Chen, Felix Fischer, Na Meng, Xiaoyin Wang
How reliable is the crowdsourced knowledge of security implementation? ICSE 2019: 536-547 - [c25]Shu Lin, Na Meng, Wenxin Li:
Optimizing Constraint Solving via Dynamic Programming. IJCAI 2019: 1146-1154 - [c24]Shengzhe Xu, Ziqi Dong, Na Meng:
Meditor: inference and application of API migration edits. ICPC 2019: 335-346 - [c23]Mostafa Mohammed, Haipeng Cai
An empirical comparison between monkey testing and human testing (WIP paper). LCTES 2019: 188-192 - [p2]Miryung Kim, Na Meng, Tianyi Zhang:
Software Evolution. Handbook of Software Engineering 2019: 223-284 - [i3]Mengsu Chen, Felix Fischer, Na Meng, Xiaoyin Wang, Jens Grossklags:
How Reliable is the Crowdsourced Knowledge of Security Implementation? CoRR abs/1901.01327 (2019) - 2018
- [j2]Hao Zhong
Towards reusing hints from past fixes - An exploratory study on thousands of real samples. Empir. Softw. Eng. 23(5): 2521-2549 (2018) - [j1]Doaa Altarawy
Lascad : Language-agnostic software categorization and similar application detection. J. Syst. Softw. 142: 21-34 (2018) - [c22]Kijin An, Na Meng, Eli Tilevich
Automatic inference of Java-to-swift translation rules for porting mobile applications. MOBILESoft@ICSE 2018: 180-190 - [c21]Na Meng, Stefan Nagy
Secure coding practices in Java: challenges and vulnerabilities. ICSE 2018: 372-383 - [c20]Hao Zhong
Towards reusing hints from past fixes: an exploratory study on thousands of real samples. ICSE 2018: 885 - [c19]Ruru Yue, Zhe Gao, Na Meng, Yingfei Xiong, Xiaoyin Wang, J. David Morgenthaler
Automatic Clone Recommendation for Refactoring Based on the Present and the Past. ICSME 2018: 115-126 - [c18]Ye Wang, Na Meng, Hao Zhong
An Empirical Study of Multi-entity Changes in Real Bug Fixes. ICSME 2018: 287-298 - [c17]Swapna Thorve, Chandani Sreshtha, Na Meng:
An Empirical Study of Flaky Tests in Android Apps. ICSME 2018: 534-538 - [c16]Ye Wang, Na Meng, Hao Zhong
CMSuggester: Method Change Suggestion to Complement Multi-entity Edits. SATE 2018: 137-153 - [c15]Sazzadur Rahaman, Na Meng, Danfeng Yao
Tutorial: Principles and Practices of Secure Crypto Coding in Java. SecDev 2018: 122-123 - [i2]Ruru Yue, Zhe Gao, Na Meng, Yingfei Xiong, Xiaoyin Wang, J. David Morgenthaler
Automatic Clone Recommendation for Refactoring Based on the Present and the Past. CoRR abs/1807.11184 (2018) - 2017
- [c14]Hao Zhong
An empirical study on using hints from past fixes: poster. ICSE (Companion Volume) 2017: 144-145 - [c13]Liuqing Li, He Feng, Wenjie Zhuang, Na Meng, Barbara G. Ryder:
CCLearner: A Deep Learning-Based Clone Detection Approach. ICSME 2017: 249-260 - [c12]Ruru Yue, Na Meng, Qianxiang Wang:
A Characterization Study of Repeated Bug Fixes. ICSME 2017: 422-432 - [c11]Tung Dao, Lingming Zhang, Na Meng:
How does execution information help with information-retrieval based bug localization? ICPC 2017: 241-250 - [i1]Na Meng, Stefan Nagy, Danfeng Daphne Yao, Wenjie Zhuang, Gustavo A. Arango-Argoty:
Secure Coding Practices in Java: Challenges and Vulnerabilities. CoRR abs/1709.09970 (2017) - 2015
- [c10]Na Meng, Lisa Hua, Miryung Kim, Kathryn S. McKinley:
Does Automated Refactoring Obviate Systematic Editing? ICSE (1) 2015: 392-402 - 2014
- [c9]John Jacobellis, Na Meng, Miryung Kim:
Cookbook: in situ code completion using edit recipes learned from examples. ICSE Companion 2014: 584-587 - [p1]Miryung Kim, Na Meng:
Recommending Program Transformations - Automating Repetitive Software Changes. Recommendation Systems in Software Engineering 2014: 421-453 - 2013
- [c8]Na Meng, Miryung Kim, Kathryn S. McKinley:
LASE: locating and applying systematic edits by learning from examples. ICSE 2013: 502-511 - [c7]John Jacobellis, Na Meng, Miryung Kim:
LASE: an example-based program transformation tool for locating and applying systematic edits. ICSE 2013: 1319-1322 - 2011
- [c6]Na Meng, Miryung Kim, Kathryn S. McKinley:
Systematic editing: generating program transformations from an example. PLDI 2011: 329-342 - [c5]Na Meng, Miryung Kim, Kathryn S. McKinley:
Sydit: creating and applying a program transformation from an example. SIGSOFT FSE 2011: 440-443
2000 – 2009
- 2008
- [c4]Na Meng, Qianxiang Wang, Qian Wu, Hong Mei:
An Approach to Merge Results of Multiple Static Analysis Tools (Short Paper). QSIC 2008: 169-174 - [c3]Qianxiang Wang, Na Meng, Zhiyi Zhou, Jinhui Li, Hong Mei:
Towards SOA-Based Code Defect Analysis. SOSE 2008: 269-274 - 2007
- [c2]Qianxiang Wang, Min Li, Na Meng, Yonggang Liu, Hong Mei:
A Pattern-Based Constraint Description Approach for Web Services. QSIC 2007: 60-69 - 2006
- [c1]Qianxiang Wang, Min Li, Na Meng:
A Visual Constraint Specifying Approach for Adaptive Software. COMPSAC (2) 2006: 252-257
Coauthor Index
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last updated on 2024-11-07 20:35 CET by the dblp team
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