Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDavid 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
![[0000-0002-2585-5473]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2585-5473")
— Google Inc., Mountain View, CA, USA (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j162]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)- [j161]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) - [j160]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) - [j159]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) - [j158]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) - [j157]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) - [j156]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) - [j155]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) - [c369]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 - [c368]Chengran Yang, Bowen Xu, Jiakun Liu, David Lo:
TECHSUMBOT: A Stack Overflow Answer Summarization Tool for Technical Query. ICSE Companion 2023: 132-135 - [c367]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 - [c366]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 - [c365]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 - [c364]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 - [c363]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 - [c362]David Lo:
Human-Centered AI for Software Engineering: Requirements, Reflection, and Road Ahead. ISEC 2023: 2:1 - [c361]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 - [c360]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 - [c359]Ratnadira Widyasari, Zhou Yang, Ferdian Thung, Sheng Qin Sim, Fiona Wee, Camellia Lok, Jack Phan, Haodi Qi, Constance Tan, Qijin Tay, David Lo:
NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python. MSR 2023: 62-66 - [c358]Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo:
What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. MSR 2023: 79-91 - [c357]Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo:
Picaso: Enhancing API Recommendations with Relevant Stack Overflow Posts. MSR 2023: 92-103 - [c356]Chao Ni, Xiaodan Xu, Kaiwen Yang, David Lo:
Boosting Just-in-Time Defect Prediction with Specific Features of C/C++ Programming Languages in Code Changes. MSR 2023: 472-484 - [c355]Chao Ni, Cong Tian, Kaiwen Yang, David Lo, Jiachi Chen, Xiaohu Yang:
Automatic Identification of Crash-inducing Smart Contracts. SANER 2023: 108-119 - [c354]Ratnadira Widyasari, Zhipeng Zhao, Thanh Le-Cong, Hong Jin Kang, David Lo:
Topic Recommendation for GitHub Repositories: How Far Can Extreme Multi-Label Learning Go? SANER 2023: 167-178 - [c353]Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo:
Multi-Modal API Recommendation. SANER 2023: 272-283 - [c352]Lin Sze Khoo, Jia Qi Bay, Ming Lee Kimberly Yap, Mei Kuan Lim, Chun Yong Chong, Zhou Yang, David Lo:
Exploring and Repairing Gender Fairness Violations in Word Embedding-based Sentiment Analysis Model through Adversarial Patches. SANER 2023: 651-662 - [i140]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. CoRR abs/2301.01113 (2023) - [i139]Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo:
Stealthy Backdoor Attack for Code Models. CoRR abs/2301.02496 (2023) - [i138]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. CoRR abs/2301.03944 (2023) - [i137]Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, DongGyun Han, David Lo:
Prioritizing Speech Test Cases. CoRR abs/2302.00330 (2023) - [i136]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. CoRR abs/2302.05582 (2023) - [i135]Roman Belaire, Pradeep Varakantham, David Lo:
Regret-Based Optimization for Robust Reinforcement Learning. CoRR abs/2302.06912 (2023) - [i134]Zichong Wang, Yang Zhou, Meikang Qiu, Israat Haque, Laura Brown, Yi He, Jianwu Wang, David Lo, Wenbin Zhang:
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking. CoRR abs/2302.08018 (2023) - [i133]Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han, Thanh Le-Cong, Junda He, Xuan-Bach Dinh Le, David Lo:
PatchZero: Zero-Shot Automatic Patch Correctness Assessment. CoRR abs/2303.00202 (2023) - [i132]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. CoRR abs/2303.04942 (2023) - [i131]Ratnadira Widyasari, Zhou Yang, Ferdian Thung, Sheng Qin Sim, Fiona Wee, Camellia Lok, Jack Phan, Haodi Qi, Constance Tan, Qijin Tay, David Lo:
NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python. CoRR abs/2303.06286 (2023) - [i130]Junda He, Zhou Xin, 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? CoRR abs/2303.06853 (2023) - [i129]Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, Junda He, David Lo:
Generation-based Code Review Automation: How Far Are We? CoRR abs/2303.07221 (2023) - [i128]Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo:
What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. CoRR abs/2303.09795 (2023) - [i127]Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo:
PICASO: Enhancing API Recommendations with Relevant Stack Overflow Posts. CoRR abs/2303.12299 (2023) - [i126]Ferdian Thung, Kisub Kim, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo:
APIHarvest: Harvesting API Information from Various Online Sources. CoRR abs/2304.02514 (2023) - [i125]Kisub Kim, Ferdian Thung, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo:
APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge. CoRR abs/2304.05121 (2023) - [i124]Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui:
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code. CoRR abs/2305.04106 (2023) - [i123]Zibin Zheng, Jianzhong Su, Jiachi Chen, David Lo, Zhijie Zhong, Mingxi Ye:
DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects. CoRR abs/2305.08456 (2023) - [i122]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. CoRR abs/2305.13884 (2023) - [i121]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. CoRR abs/2305.17445 (2023) - [i120]Terry Yue Zhuo, Zhou Yang, Zhensu Sun, Yufei Wang, Li Li, Xiaoning Du, Zhenchang Xing, David Lo:
Data Augmentation Approaches for Source Code Models: A Survey. CoRR abs/2305.19915 (2023) - [i119]Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Zhenchang Xing, Xiwei Xu, Mark Staples, David Lo:
SeePrivacy: Automated Contextual Privacy Policy Generation for Mobile Applications. CoRR abs/2307.01691 (2023) - [i118]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? CoRR abs/2307.09765 (2023) - [i117]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. CoRR abs/2307.12596 (2023) - [i116]Yunbo Lyu, Hong Jin Kang, Ratnadira Widyasari, Julia Lawall, David Lo:
Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel. CoRR abs/2308.05060 (2023) - [i115]Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo:
What Do Code Models Memorize? An Empirical Study on Large Language Models of Code. CoRR abs/2308.09932 (2023) - [i114]Zhiyuan Wan, Yun Zhang, Xin Xia, Yi Jiang, David Lo:
Software Architecture in Practice: Challenges and Opportunities. CoRR abs/2308.09978 (2023) - [i113]Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, David Lo:
Cupid: Leveraging ChatGPT for More Accurate Duplicate Bug Report Detection. CoRR abs/2308.10022 (2023) - [i112]Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui:
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models. CoRR abs/2308.10462 (2023) - [i111]Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John C. Grundy, Haoyu Wang:
Large Language Models for Software Engineering: A Systematic Literature Review. CoRR abs/2308.10620 (2023) - [i110]Thanh-Dat Nguyen, Yang Zhou, Xuan-Bach Dinh Le, Patanamon Thongtanunam, David Lo:
Adversarial Attacks on Code Models with Discriminative Graph Patterns. CoRR abs/2308.11161 (2023) - [i109]Kisub Kim, Xin Zhou, Dongsun Kim, Julia Lawall, Kui Liu, Tegawendé F. Bissyandé, Jacques Klein, Jaekwon Lee, David Lo:
How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective. CoRR abs/2308.12701 (2023) - [i108]Xiaoye Zheng, Zhiyuan Wan, Yun Zhang, Rui Chang, David Lo:
A Closer Look at the Security Risks in the Rust Ecosystem. CoRR abs/2308.15046 (2023) - [i107]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. CoRR abs/2309.03567 (2023) - [i106]Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo:
Smaller, Faster, Greener: Compressing Pre-trained Code Models via Surrogate-Assisted Optimization. CoRR abs/2309.04076 (2023) - [i105]David Lo:
Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps. CoRR abs/2309.04142 (2023) - [i104]Changan Niu, Chuanyi Li, Vincent Ng, David Lo, Bin Luo:
FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations. CoRR abs/2309.04828 (2023) - 2022
- [j154]Chao Liu, Xin Xia, David Lo, Cuiyun Gao, Xiaohu Yang, John C. Grundy:
Opportunities and Challenges in Code Search Tools. ACM Comput. Surv. 54(9): 196:1-196:40 (2022) - [j153]Yanming Yang, Xin Xia, David Lo, John C. Grundy:
A Survey on Deep Learning for Software Engineering. ACM Comput. Surv. 54(10s): 206:1-206:73 (2022) - [j152]Jiakun Liu, Haoxiang Zhang, Xin Xia, David Lo, Ying Zou, Ahmed E. Hassan, Shanping Li:
An exploratory study on the repeatedly shared external links on Stack Overflow. Empir. Softw. Eng. 27(1): 19 (2022) - [j151]Stefanus A. Haryono, Ferdian Thung, David Lo, Lingxiao Jiang, Julia Lawall, Hong Jin Kang, Lucas Serrano, Gilles Muller:
AndroEvolve: automated Android API update with data flow analysis and variable denormalization. Empir. Softw. Eng. 27(3): 73 (2022) - [j150]Ratnadira Widyasari, Gede Artha Azriadi Prana, Stefanus Agus Haryono, Shaowei Wang, David Lo:
Real world projects, real faults: evaluating spectrum based fault localization techniques on Python projects. Empir. Softw. Eng. 27(6): 147 (2022) - [j149]Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Understanding in-app advertising issues based on large scale app review analysis. Inf. Softw. Technol. 142: 106741 (2022) - [j148]Jianbing Zheng, Ming Gao, Ee-Peng Lim, David Lo, Cheqing Jin, Aoying Zhou:
On measuring network robustness for weighted networks. Knowl. Inf. Syst. 64(7): 1967-1996 (2022) - [j147]Siqi Ma, Juanru Li, Surya Nepal, Diethelm Ostry, David Lo, Sanjay K. Jha, Robert H. Deng, Elisa Bertino:
Orchestration or Automation: Authentication Flaw Detection in Android Apps. IEEE Trans. Dependable Secur. Comput. 19(4): 2165-2178 (2022) - [j146]Cuiyun Gao, Wenjie Zhou, Xin Xia, David Lo, Qi Xie, Michael R. Lyu:
Automating App Review Response Generation Based on Contextual Knowledge. ACM Trans. Softw. Eng. Methodol. 31(1): 11:1-11:36 (2022) - [j145]Chao Liu, Xin Xia, David Lo, Zhiwei Liu, Ahmed E. Hassan, Shanping Li:
CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words. ACM Trans. Softw. Eng. Methodol. 31(1): 12:1-12:37 (2022) - [j144]Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang:
On the Reproducibility and Replicability of Deep Learning in Software Engineering. ACM Trans. Softw. Eng. Methodol. 31(1): 15:1-15:46 (2022) - [j143]Jiachi Chen, Xin Xia, David Lo, John C. Grundy:
Why Do Smart Contracts Self-Destruct? Investigating the Selfdestruct Function on Ethereum. ACM Trans. Softw. Eng. Methodol. 31(2): 30:1-30:37 (2022) - [j142]Yanming Yang, Xin Xia, David Lo, Tingting Bi, John C. Grundy, Xiaohu Yang:
Predictive Models in Software Engineering: Challenges and Opportunities. ACM Trans. Softw. Eng. Methodol. 31(3): 56:1-56:72 (2022) - [j141]Xing Hu, Qiuyuan Chen, Haoye Wang, Xin Xia, David Lo, Thomas Zimmermann:
Correlating Automated and Human Evaluation of Code Documentation Generation Quality. ACM Trans. Softw. Eng. Methodol. 31(4): 63:1-63:28 (2022) - [j140]Tingting Bi, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann, Denae Ford:
Accessibility in Software Practice: A Practitioner's Perspective. ACM Trans. Softw. Eng. Methodol. 31(4): 66:1-66:26 (2022) - [j139]Chao Ni, Xin Xia, David Lo, Xiaohu Yang, Ahmed E. Hassan:
Just-In-Time Defect Prediction on JavaScript Projects: A Replication Study. ACM Trans. Softw. Eng. Methodol. 31(4): 76:1-76:38 (2022) - [j138]Meng Yan, Xin Xia, Yuanrui Fan, Ahmed E. Hassan, David Lo, Shanping Li:
Just-In-Time Defect Identification and Localization: A Two-Phase Framework. IEEE Trans. Software Eng. 48(2): 82-101 (2022) - [j137]Jiachi Chen, Xin Xia, David Lo, John C. Grundy, Xiapu Luo, Ting Chen:
Defining Smart Contract Defects on Ethereum. IEEE Trans. Software Eng. 48(2): 327-345 (2022) - [j136]Chao Ni, Xin Xia, David Lo, Xiang Chen, Qing Gu:
Revisiting Supervised and Unsupervised Methods for Effort-Aware Cross-Project Defect Prediction. IEEE Trans. Software Eng. 48(3): 786-802 (2022) - [j135]Neng Zhang, Qiao Huang, Xin Xia, Ying Zou, David Lo, Zhenchang Xing:
Chatbot4QR: Interactive Query Refinement for Technical Question Retrieval. IEEE Trans. Software Eng. 48(4): 1185-1211 (2022) - [j134]Tingting Bi, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann:
An Empirical Study of Release Note Production and Usage in Practice. IEEE Trans. Software Eng. 48(6): 1834-1852 (2022) - [j133]Jiachi Chen, Xin Xia, David Lo, John Grundy, Xiapu Luo, Ting Chen:
DefectChecker: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode. IEEE Trans. Software Eng. 48(7): 2189-2207 (2022) - [j132]Xiaoxue Wu, Wei Zheng, Xin Xia, David Lo:
Data Quality Matters: A Case Study on Data Label Correctness for Security Bug Report Prediction. IEEE Trans. Software Eng. 48(7): 2541-2556 (2022) - [j131]Hong Jin Kang, David Lo:
Active Learning of Discriminative Subgraph Patterns for API Misuse Detection. IEEE Trans. Software Eng. 48(8): 2761-2783 (2022) - [j130]Darryl Jarman, Jeffrey Berry, Riley Smith, Ferdian Thung, David Lo:
Legion: Massively Composing Rankers for Improved Bug Localization at Adobe. IEEE Trans. Software Eng. 48(8): 3010-3024 (2022) - [j129]Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. IEEE Trans. Software Eng. 48(8): 3025-3043 (2022) - [j128]Jiakun Liu, Xin Xia, David Lo, Haoxiang Zhang, Ying Zou, Ahmed E. Hassan, Shanping Li:
Broken External Links on Stack Overflow. IEEE Trans. Software Eng. 48(9): 3242-3267 (2022) - [j127]Paulo Anselmo da Mota Silveira Neto, Umme Ayda Mannan, Eduardo Santana de Almeida, Nachiappan Nagappan, David Lo, Pavneet Singh Kochhar, Cuiyun Gao, Iftekhar Ahmed:
A Deep Dive into the Impact of COVID-19 on Software Development. IEEE Trans. Software Eng. 48(9): 3342-3360 (2022) - [j126]Gede Artha Azriadi Prana, Denae Ford, Ayushi Rastogi, David Lo, Rahul Purandare, Nachiappan Nagappan:
Including Everyone, Everywhere: Understanding Opportunities and Challenges of Geographic Gender-Inclusion in OSS. IEEE Trans. Software Eng. 48(9): 3394-3409 (2022) - [j125]Bowen Xu, Thong Hoang, Abhishek Sharma, Chengran Yang, Xin Xia, David Lo:
Post2Vec: Learning Distributed Representations of Stack Overflow Posts. IEEE Trans. Software Eng. 48(9): 3423-3441 (2022) - [j124]Nikita Mehrotra, Navdha Agarwal, Piyush Gupta, Saket Anand, David Lo, Rahul Purandare:
Modeling Functional Similarity in Source Code With Graph-Based Siamese Networks. IEEE Trans. Software Eng. 48(10): 3771-3789 (2022) - [j123]Fangcheng Qiu, Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Xinyu Wang:
Deep Just-In-Time Defect Localization. IEEE Trans. Software Eng. 48(12): 5068-5086 (2022) - [j122]Muhammad Hilmi Asyrofi, Zhou Yang, Imam Nur Bani Yusuf, Hong Jin Kang, Ferdian Thung, David Lo:
BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems. IEEE Trans. Software Eng. 48(12): 5087-5101 (2022) - [c351]Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, Guoliang Fan:
Curiosity-Driven and Victim-Aware Adversarial Policies. ACSAC 2022: 186-200 - [c350]Yan Lin, Debin Gao, David Lo:
ReSIL: Revivifying Function Signature Inference using Deep Learning with Domain-Specific Knowledge. CODASPY 2022: 107-118 - [c349]Kien Luong, Ferdian Thung, David Lo:
ARSearch: Searching for API Related Resources from Stack Overflow and GitHub. ICSE-Companion 2022: 11-15 - [c348]Eng Lieh Ouh, Benjamin Kok Siew Gan, David Lo:
ITSS: Interactive Web-Based Authoring and Playback Integrated Environment for Programming Tutorials. ICSE (SEET) 2022: 158-164 - [c347]Hong Jin Kang, Khai Loong Aw, David Lo:
Detecting False Alarms from Automatic Static Analysis Tools: How Far are We? ICSE 2022: 698-709 - [c346]Zhou Yang, Jieke Shi, Junda He, David Lo:
Natural Attack for Pre-trained Models of Code. ICSE 2022: 1482-1493 - [c345]Xing Hu, Xin Xia, David Lo, Zhiyuan Wan, Qiuyuan Chen, Thomas Zimmermann:
Practitioners' Expectations on Automated Code Comment Generation. ICSE 2022: 1693-1705 - [c344]Neng Zhang, Chao Liu, Xin Xia, Christoph Treude, Ying Zou, David Lo, Zibin Zheng:
ShellFusion: Answer Generation for Shell Programming Tasks via Knowledge Fusion. ICSE 2022: 1970-1981 - [c343]Yun Peng, Cuiyun Gao, Zongjie Li, Bowei Gao, David Lo, Qirun Zhang, Michael R. Lyu:
Static Inference Meets Deep learning: A Hybrid Type Inference Approach for Python. ICSE 2022: 2019-2030 - [c342]Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, DongGyun Han, David Lo, Lingxiao Jiang:
Automatic Pull Request Title Generation. ICSME 2022: 71-81 - [c341]