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David Lo 0001
Person information
- affiliation: Singapore Management University, School of Information Systems, Singapore
- affiliation (PhD 2008): National University of Singapore, Singapore
Other persons with the same name
- David Lo 0002 — Carleton University, Department of System and Computer Engineering, Ottawa, ON, Canada
- David Lo 0003 — Google Inc., Mountain View, CA, USA (and 1 more)
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2020 – today
- 2024
- [j177]Yan Lin, Trisha Singhal, Debin Gao, David Lo:
Analyzing and revivifying function signature inference using deep learning. Empir. Softw. Eng. 29(3): 69 (2024) - [j176]Junxiao Han, Jiakun Liu, David Lo, Chen Zhi, Yishan Chen, Shuiguang Deng:
On the sustainability of deep learning projects: Maintainers' perspective. J. Softw. Evol. Process. 36(7) (2024) - [j175]Xiaoye Zheng, Zhiyuan Wan, Yun Zhang, Rui Chang, David Lo:
A Closer Look at the Security Risks in the Rust Ecosystem. ACM Trans. Softw. Eng. Methodol. 33(2): 34:1-34:30 (2024) - [j174]Junda He, Xin Zhou, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ferdian Thung, Ivana Clairine Irsan, David Lo:
Representation Learning for Stack Overflow Posts: How Far Are We? ACM Trans. Softw. Eng. Methodol. 33(3): 69:1-69:24 (2024) - [j173]Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach Dinh Le, David Lo:
Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues. ACM Trans. Softw. Eng. Methodol. 33(5): 116:1-116:26 (2024) - [j172]Yanming Yang, Xing Hu, Zhipeng Gao, Jinfu Chen, Chao Ni, Xin Xia, David Lo:
Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction. IEEE Trans. Software Eng. 50(2): 296-321 (2024) - [j171]Junxiao Han, Jiahao Zhang, David Lo, Xin Xia, Shuiguang Deng, Minghui Wu:
Understanding Newcomers' Onboarding Process in Deep Learning Projects. IEEE Trans. Software Eng. 50(3): 443-460 (2024) - [j170]Ruidong Han, Siqi Ma, Juanru Li, Surya Nepal, David Lo, Zhuo Ma, Jianfeng Ma:
Range Specification Bug Detection in Flight Control System Through Fuzzing. IEEE Trans. Software Eng. 50(3): 461-473 (2024) - [j169]Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo:
Stealthy Backdoor Attack for Code Models. IEEE Trans. Software Eng. 50(4): 721-741 (2024) - [j168]Zibin Zheng, Jianzhong Su, Jiachi Chen, David Lo, Zhijie Zhong, Mingxi Ye:
DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects. IEEE Trans. Software Eng. 50(6): 1360-1373 (2024) - [j167]Yunbo Lyu, Hong Jin Kang, Ratnadira Widyasari, Julia Lawall, David Lo:
Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel. IEEE Trans. Software Eng. 50(9): 2219-2239 (2024) - [c409]Roman Belaire, Pradeep Varakantham, Thanh Hong Nguyen, David Lo:
Regret-based Defense in Adversarial Reinforcement Learning. AAMAS 2024: 2633-2640 - [c408]Manoj Thulasidas, David Lo:
The Grader: A Grading Assistant for Lab Tests and a Teaching Tool. EDUCON 2024: 1-10 - [c407]Haitian Hang, Xiu Tang, Jianling Sun, Lingfeng Bao, David Lo, Haoye Wang:
Robust Auto-Scaling with Probabilistic Workload Forecasting for Cloud Databases. ICDE 2024: 4016-4029 - [c406]Wei Hung Pan, Ming Jie Chok, Jonathan Leong Shan Wong, Yung Xin Shin, Yeong Shian Poon, Zhou Yang, Chun Yong Chong, David Lo, Mei Kuan Lim:
Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education. SEET@ICSE 2024: 1-11 - [c405]Changan Niu, Chuanyi Li, Vincent Ng, David Lo, Bin Luo:
FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations. ICSE 2024: 33:1-33:12 - [c404]Xin Zhou, Ting Zhang, David Lo:
Large Language Model for Vulnerability Detection: Emerging Results and Future Directions. NIER@ICSE 2024: 47-51 - [c403]Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo:
Unveiling Memorization in Code Models. ICSE 2024: 72:1-72:13 - [c402]Junkai Chen, Xing Hu, Zhenhao Li, Cuiyun Gao, Xin Xia, David Lo:
Code Search is All You Need? Improving Code Suggestions with Code Search. ICSE 2024: 73:1-73:13 - [c401]Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, David Lo:
Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources. ICSE 2024: 88:1-88:13 - [c400]Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo:
Greening Large Language Models of Code. ICSE (SEIS) 2024: 142-153 - [c399]Sicong Cao, Xiaobing Sun, Xiaoxue Wu, David Lo, Lili Bo, Bin Li, Wei Liu:
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems. ICSE 2024: 155:1-155:13 - [c398]Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo:
Curiosity-Driven Testing for Sequential Decision-Making Process. ICSE 2024: 165:1-165:14 - [c397]Qi Zhan, Xing Hu, Zhiyang Li, Xin Xia, David Lo, Shanping Li:
PS3: Precise Patch Presence Test based on Semantic Symbolic Signature. ICSE 2024: 167:1-167:12 - [c396]Jiakun Liu, Zicheng Zhang, Xing Hu, Ferdian Thung, Shahar Maoz, Debin Gao, Eran Toch, Zhipeng Zhao, David Lo:
MiniMon: Minimizing Android Applications with Intelligent Monitoring-Based Debloating. ICSE 2024: 206:1-206:13 - [c395]Zhiyuan Pan, Xing Hu, Xin Xia, Xian Zhan, David Lo, Xiaohu Yang:
PPT4J: Patch Presence Test for Java Binaries. ICSE 2024: 225:1-225:12 - [c394]Zirui Chen, Xing Hu, Xin Xia, Yi Gao, Tongtong Xu, David Lo, Xiaohu Yang:
Exploiting Library Vulnerability via Migration Based Automating Test Generation. ICSE 2024: 228:1-228:12 - [c393]Yi Gao, Xing Hu, Tongtong Xu, Xin Xia, David Lo, Xiaohu Yang:
MUT: Human-in-the-Loop Unit Test Migration. ICSE 2024: 229:1-229:12 - [c392]Yanming Yang, Xing Hu, Xin Xia, David Lo, Xiaohu Yang:
Streamlining Java Programming: Uncovering Well-Formed Idioms with IdioMine. ICSE 2024: 230:1-230:12 - [c391]Wendkûuni C. Ouédraogo, Laura Plein, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, David Lo, Tegawendé F. Bissyandé:
Extracting Relevant Test Inputs from Bug Reports for Automatic Test Case Generation. ICSE Companion 2024: 406-407 - [c390]Zhensu Sun, Xiaoning Du, Xiapu Luo, Fu Song, David Lo, Li Li:
FDI: Attack Neural Code Generation Systems through User Feedback Channel. ISSTA 2024: 528-540 - [c389]Zhensu Sun, Xiaoning Du, Zhou Yang, Li Li, David Lo:
AI Coders Are among Us: Rethinking Programming Language Grammar towards Efficient Code Generation. ISSTA 2024: 1124-1136 - [c388]Dong Li, Meng Yan, Yaosheng Zhang, Zhongxin Liu, Chao Liu, Xiaohong Zhang, Ting Chen, David Lo:
CoSec: On-the-Fly Security Hardening of Code LLMs via Supervised Co-decoding. ISSTA 2024: 1428-1439 - [c387]Xiao Yu, Lei Liu, Xing Hu, Jacky Keung, Xin Xia, David Lo:
Practitioners' Expectations on Automated Test Generation. ISSTA 2024: 1618-1630 - [c386]Ferdian Thung, Ivana Clairine Irsan, Jiakun Liu, David Lo:
Towards Benchmarking the Coverage of Automated Testing Tools in Android against Manual Testing. MOBILESoft@ICSE 2024: 74-77 - [c385]Ferdian Thung, Jiakun Liu, Pattarakrit Rattanukul, Shahar Maoz, Eran Toch, Debin Gao, David Lo:
Towards Speedy Permission-Based Debloating for Android Apps. MOBILESoft@ICSE 2024: 84-87 - [c384]David Lo:
Requirements Engineering for Trustworthy Human-AI Synergy in Software Engineering 2.0. RE 2024: 3-4 - [c383]Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Kecen Li, Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang:
Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets. SP 2024: 2086-2104 - [c382]Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Tianshi Li, Zhenchang Xing, Xiwei Xu, Mark Staples, Thierry Rakotoarivelo, David Lo:
A NEW HOPE: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation. USENIX Security Symposium 2024 - [c381]Ratnadira Widyasari, Jia Wei Ang, Truong Giang Nguyen, Neil Sharma, David Lo:
Demystifying Faulty Code: Step-by-Step Reasoning for Explainable Fault Localization. SANER 2024: 568-579 - [c380]Hao Gu, Shichao Zhang, Qiao Huang, Zhifang Liao, Jiakun Liu, David Lo:
Self-Admitted Technical Debts Identification: How Far Are We? SANER 2024: 804-815 - [c379]Junxiao Han, Yunkun Wang, Zhongxin Liu, Lingfeng Bao, Jiakun Liu, David Lo, Shuiguang Deng:
Sustainability Forecasting for Deep Learning Packages. SANER 2024: 981-992 - [e10]David Lo, Xin Xia, Massimiliano Di Penta, Xing Hu:
Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, FORGE 2024, Lisbon, Portugal, 14 April 2024. ACM 2024 [contents] - [i182]Wei Hung Pan, Ming Jie Chok, Jonathan Leong Shan Wong, Yung Xin Shin, Yeong Shian Poon, Zhou Yang, Chun Yong Chong, David Lo, Mei Kuan Lim:
Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education. CoRR abs/2401.03676 (2024) - [i181]Dat Nguyen, Hieu M. Vu, Cong-Thanh Le, Bach Le, David Lo, Corina S. Pasareanu:
Inferring Properties of Graph Neural Networks. CoRR abs/2401.03790 (2024) - [i180]Sicong Cao, Xiaobing Sun, Ratnadira Widyasari, David Lo, Xiaoxue Wu, Lili Bo, Jiale Zhang, Bin Li, Wei Liu, Di Wu, Yixin Chen:
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research. CoRR abs/2401.14617 (2024) - [i179]Sicong Cao, Xiaobing Sun, Xiaoxue Wu, David Lo, Lili Bo, Bin Li, Wei Liu:
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems. CoRR abs/2401.14886 (2024) - [i178]Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, David Lo:
Large Language Model as Synthesizer: Fusing Diverse Inputs for Better Automatic Vulnerability Repair. CoRR abs/2401.15459 (2024) - [i177]Xin Zhou, Ting Zhang, David Lo:
Large Language Model for Vulnerability Detection: Emerging Results and Future Directions. CoRR abs/2401.15468 (2024) - [i176]Ratnadira Widyasari, Sheng Qin Sim, Camellia Lok, Haodi Qi, Jack Phan, Qijin Tay, Constance Tan, Fiona Wee, Jodie Ethelda Tan, Yuheng Yieh, Brian Goh, Ferdian Thung, Hong Jin Kang, Thong Hoang, David Lo, Eng Lieh Ouh:
BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies. CoRR abs/2401.15481 (2024) - [i175]Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Tianshi Li, Zhenchang Xing, Sherry Xu, Mark Staples, Thierry Rakotoarivelo, David Lo:
{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation. CoRR abs/2402.14544 (2024) - [i174]Chenyu Wang, Zhou Yang, Ze Shi Li, Daniela E. Damian, David Lo:
Quality Assurance for Artificial Intelligence: A Study of Industrial Concerns, Challenges and Best Practices. CoRR abs/2402.16391 (2024) - [i173]Zhou Yang, Zhensu Sun, Terry Yue Zhuo, Premkumar T. Devanbu, David Lo:
Robustness, Security, Privacy, Explainability, Efficiency, and Usability of Large Language Models for Code. CoRR abs/2403.07506 (2024) - [i172]Ratnadira Widyasari, Jia Wei Ang, Truong Giang Nguyen, Neil Sharma, David Lo:
Demystifying Faulty Code with LLM: Step-by-Step Reasoning for Explainable Fault Localization. CoRR abs/2403.10507 (2024) - [i171]Xin Zhou, DongGyun Han, David Lo:
Bridging Expert Knowledge with Deep Learning Techniques for Just-In-Time Defect Prediction. CoRR abs/2403.11079 (2024) - [i170]Xin Zhou, Sicong Cao, Xiaobing Sun, David Lo:
Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead. CoRR abs/2404.02525 (2024) - [i169]Jieke Shi, Zhou Yang, David Lo:
Efficient and Green Large Language Models for Software Engineering: Vision and the Road Ahead. CoRR abs/2404.04566 (2024) - [i168]Junda He, Christoph Treude, David Lo:
LLM-Based Multi-Agent Systems for Software Engineering: Vision and the Road Ahead. CoRR abs/2404.04834 (2024) - [i167]Xin-Cheng Wen, Xinchen Wang, Yujia Chen, Ruida Hu, David Lo, Cuiyun Gao:
VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection. CoRR abs/2404.15596 (2024) - [i166]Zhensu Sun, Xiaoning Du, Zhou Yang, Li Li, David Lo:
AI Coders Are Among Us: Rethinking Programming Language Grammar Towards Efficient Code Generation. CoRR abs/2404.16333 (2024) - [i165]Zhou Yang, Jieke Shi, David Lo:
Ecosystem of Large Language Models for Code. CoRR abs/2405.16746 (2024) - [i164]Ye Liu, Shuo Li, Xiuheng Wu, Yi Li, Zhiyang Chen, David Lo:
Demystifying the Characteristics for Smart Contract Upgrades. CoRR abs/2406.05712 (2024) - [i163]Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra:
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. CoRR abs/2406.15877 (2024) - [i162]Wendkûuni C. Ouédraogo, Abdoul Kader Kaboré, Haoye Tian, Yewei Song, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé:
Large-scale, Independent and Comprehensive study of the power of LLMs for test case generation. CoRR abs/2407.00225 (2024) - [i161]Lishui Fan, Jiakun Liu, Zhongxin Liu, David Lo, Xin Xia, Shanping Li:
Exploring the Capabilities of LLMs for Code Change Related Tasks. CoRR abs/2407.02824 (2024) - [i160]Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Terry Yue Zhuo, David Lo, Taolue Chen:
DeCE: Deceptive Cross-Entropy Loss Designed for Defending Backdoor Attacks. CoRR abs/2407.08956 (2024) - [i159]Xin Zhou, Duc-Manh Tran, Thanh Le-Cong, Ting Zhang, Ivana Clairine Irsan, Joshua Sumarlin, Bach Le, David Lo:
Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection. CoRR abs/2407.16235 (2024) - [i158]Zhensu Sun, Haotian Zhu, Bowen Xu, Xiaoning Du, Li Li, David Lo:
LLM as Runtime Error Handler: A Promising Pathway to Adaptive Self-Healing of Software Systems. CoRR abs/2408.01055 (2024) - [i157]Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, Jiakun Liu, Zhipeng Zhao, David Lo:
PTM4Tag+: Tag Recommendation of Stack Overflow Posts with Pre-trained Models. CoRR abs/2408.02311 (2024) - [i156]Zhensu Sun, Xiaoning Du, Xiapu Luo, Fu Song, David Lo, Li Li:
FDI: Attack Neural Code Generation Systems through User Feedback Channel. CoRR abs/2408.04194 (2024) - [i155]Zhou Yang, David Lo:
Hotfixing Large Language Models for Code: How Far Can Parameter-Efficient Fine-Tuning Go? CoRR abs/2408.05727 (2024) - [i154]Yiran Cheng, Lwin Khin Shar, Ting Zhang, Shouguo Yang, Chaopeng Dong, David Lo, Shichao Lv, Zhiqiang Shi, Limin Sun:
LLM-Enhanced Static Analysis for Precise Identification of Vulnerable OSS Versions. CoRR abs/2408.07321 (2024) - [i153]Dezhen Kong, Jiakun Liu, Lingfeng Bao, David Lo:
Towards Better Comprehension of Breaking Changes in the NPM Ecosystem. CoRR abs/2408.14431 (2024) - [i152]Ratnadira Widyasari, David Lo, Lizi Liao:
Beyond ChatGPT: Enhancing Software Quality Assurance Tasks with Diverse LLMs and Validation Techniques. CoRR abs/2409.01001 (2024) - [i151]Mouxiang Chen, Zhongxin Liu, He Tao, Yusu Hong, David Lo, Xin Xia, Jianling Sun:
B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests. CoRR abs/2409.08692 (2024) - 2023
- [j166]Lwin Khin Shar, Biniam Fisseha Demissie, Mariano Ceccato, Yan Naing Tun, David Lo, Lingxiao Jiang, Christoph Bienert:
Experimental comparison of features, analyses, and classifiers for Android malware detection. Empir. Softw. Eng. 28(6): 130 (2023) - [j165]Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Xindong Zhang, Zhenchang Xing:
I Know What You Are Searching for: Code Snippet Recommendation from Stack Overflow Posts. ACM Trans. Softw. Eng. Methodol. 32(3): 80:1-80:42 (2023) - [j164]Ting Zhang, DongGyun Han, Venkatesh Vinayakarao, Ivana Clairine Irsan, Bowen Xu, Ferdian Thung, David Lo, Lingxiao Jiang:
Duplicate Bug Report Detection: How Far Are We? ACM Trans. Softw. Eng. Methodol. 32(4): 97:1-97:32 (2023) - [j163]Weifeng Sun, Meng Yan, Zhongxin Liu, Xin Xia, Yan Lei, David Lo:
Revisiting the Identification of the Co-evolution of Production and Test Code. ACM Trans. Softw. Eng. Methodol. 32(6): 152:1-152:37 (2023) - [j162]Zhongxin Liu, Xin Xia, David Lo, Meng Yan, Shanping Li:
Just-In-Time Obsolete Comment Detection and Update. IEEE Trans. Software Eng. 49(1): 1-23 (2023) - [j161]Neng Zhang, Ying Zou, Xin Xia, Qiao Huang, David Lo, Shanping Li:
Web APIs: Features, Issues, and Expectations - A Large-Scale Empirical Study of Web APIs From Two Publicly Accessible Registries Using Stack Overflow and a User Survey. IEEE Trans. Software Eng. 49(2): 498-528 (2023) - [j160]Rahul Yedida, Hong Jin Kang, Huy Tu, Xueqi Yang, David Lo, Tim Menzies:
How to Find Actionable Static Analysis Warnings: A Case Study With FindBugs. IEEE Trans. Software Eng. 49(4): 2856-2872 (2023) - [j159]Thanh Le-Cong, Duc-Minh Luong, Xuan-Bach Dinh Le, David Lo, Nhat-Hoa Tran, Bui Quang Huy, Quyet-Thang Huynh:
Invalidator: Automated Patch Correctness Assessment Via Semantic and Syntactic Reasoning. IEEE Trans. Software Eng. 49(6): 3411-3429 (2023) - [j158]Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Xin Xia, David Lo:
Context-Aware Neural Fault Localization. IEEE Trans. Software Eng. 49(7): 3939-3954 (2023) - [j157]Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Chengran Yang, Zhipeng Zhao, Bowen Xu, Jiayuan Zhou, Xin Xia, Ahmed E. Hassan, Xuan-Bach Dinh Le, David Lo:
Multi-Granularity Detector for Vulnerability Fixes. IEEE Trans. Software Eng. 49(8): 4035-4057 (2023) - [j156]Tiezhu Sun, Kevin Allix, Kisub Kim, Xin Zhou, Dongsun Kim, David Lo, Tegawendé F. Bissyandé, Jacques Klein:
DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode. IEEE Trans. Software Eng. 49(10): 4691-4706 (2023) - [j155]Weifeng Sun, Meng Yan, Zhongxin Liu, David Lo:
Robust Test Selection for Deep Neural Networks. IEEE Trans. Software Eng. 49(12): 5250-5278 (2023) - [c378]David Lo:
Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps. ICSE-FoSE 2023: 69-85 - [c377]Aftab Hussain, Md. Rafiqul Islam Rabin, Bowen Xu, David Lo, Mohammad Amin Alipour:
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code. InteNSE@ICSE 2023: 14-20 - [c376]Chengran Yang, Bowen Xu, Jiakun Liu, David Lo:
TECHSUMBOT: A Stack Overflow Answer Summarization Tool for Technical Query. ICSE Companion 2023: 132-135 - [c375]Shengyi Pan, Lingfeng Bao, Xin Xia, David Lo, Shanping Li:
Fine-grained Commit-level Vulnerability Type Prediction by CWE Tree Structure. ICSE 2023: 957-969 - [c374]Yunbo Lyu, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach Dinh Le, Ming Li, David Lo:
CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports. ICSE 2023: 1033-1045 - [c373]Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo, Yue Yu:
Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension. ICSE 2023: 1933-1945 - [c372]Jiayuan Zhou, Michael Pacheco, Jinfu Chen, Xing Hu, Xin Xia, David Lo, Ahmed E. Hassan:
CoLeFunDa: Explainable Silent Vulnerability Fix Identification. ICSE 2023: 2565-2577 - [c371]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: 50-61 - [c370]Xin Zhou, Bowen Xu, DongGyun Han, Zhou Yang, Junda He, David Lo:
CCBERT: Self-Supervised Code Change Representation Learning. ICSME 2023: 182-193 - [c369]Daniel Hao Xian Yuen, Andrew Yong Chen Pang, Zhou Yang, Chun Yong Chong, Mei Kuan Lim, David Lo:
ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems. ICST 2023: 461-463 - [c368]David Lo:
Human-Centered AI for Software Engineering: Requirements, Reflection, and Road Ahead. ISEC 2023: 2:1 - [c367]Julia Kaiwen Lau, Kelvin Kai Wen Kong, Julian Hao Yong, Per Hoong Tan, Zhou Yang, Zi Qian Yong, Joshua Chern Wey Low, Chun Yong Chong, Mei Kuan Lim, David Lo:
Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing. ISSTA 2023: 1169-1181 - [c366]Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, Junda He, David Lo:
Generation-based Code Review Automation: How Far Are Weƒ. ICPC 2023: 215-226 - [c365]Xin Zhou, Kisub Kim, Bowen Xu, Jiakun Liu, DongGyun Han, David Lo:
The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models. ASE 2023: 40-52 - [c364]Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Xuan-Bach Dinh Le, David Lo:
Are We Ready to Embrace Generative AI for Software Q&A? ASE 2023: 1713-1717 - [c363]Jiakun Liu, Xing Hu, Ferdian Thung, Shahar Maoz, Eran Toch, Debin Gao, David Lo:
AutoDebloater: Automated Android App Debloating. ASE 2023: 2090-2093 - [c362]Ratnadira Widyasari, Zhou Yang, Ferdian Thung, Sheng Qin Sim, Fiona Wee, Camellia Lok,