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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://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2585-5473")
— Google Inc., Mountain View, CA, USA (and 1 more)
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2020 – today
- 2022
[j138]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)- [j137]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) - [j136]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) - [j135]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) - [j134]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) - [j133]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) - [j132]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) - [j131]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) - [j130]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) - [j129]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) - [j128]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) - [j127]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) - [j126]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) - [j125]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) - [j124]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) - [j123]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) - [j122]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) - [j121]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) - [c326]Yan Lin, Debin Gao, David Lo:
ReSIL: Revivifying Function Signature Inference using Deep Learning with Domain-Specific Knowledge. CODASPY 2022: 107-118 - [c325]Kien Luong, Ferdian Thung, David Lo:
ARSearch: Searching for API Related Resources from Stack Overflow and GitHub. ICSE-Companion 2022: 11-15 - [c324]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 - [c323]Hong Jin Kang, Khai Loong Aw, David Lo:
Detecting False Alarms from Automatic Static Analysis Tools: How Far are We? ICSE 2022: 698-709 - [c322]Zhou Yang, Jieke Shi, Junda He, David Lo:
Natural Attack for Pre-trained Models of Code. ICSE 2022: 1482-1493 - [c321]Xing Hu, Xin Xia, David Lo, Zhiyuan Wan, Qiuyuan Chen, Thomas Zimmermann:
Practitioners' Expectations on Automated Code Comment Generation. ICSE 2022: 1693-1705 - [c320]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 - [c319]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 - [c318]Hong Jin Kang, Truong Giang Nguyen, Bach Le, Corina S. Pasareanu, David Lo:
Test mimicry to assess the exploitability of library vulnerabilities. ISSTA 2022: 276-288 - [c317]Giang Nguyen-Truong, Hong Jin Kang, David Lo, Abhishek Sharma, Andrew E. Santosa, Asankhaya Sharma, Ming Yi Ang:
HERMES: Using Commit-Issue Linking to Detect Vulnerability-Fixing Commits. SANER 2022: 51-62 - [c316]Chengran Yang, Ferdian Thung, David Lo:
Efficient Search of Live-Coding Screencasts from Online Videos. SANER 2022: 73-77 - [c315]Ratnadira Widyasari, Stefanus Agus Haryono, Ferdian Thung, Jieke Shi, Constance Tan, Fiona Wee, Jack Phan, David Lo:
On the Influence of Biases in Bug Localization: Evaluation and Benchmark. SANER 2022: 128-139 - [c314]Chengran Yang, Bowen Xu, Junaed Younus Khan, Gias Uddin, DongGyun Han, Zhou Yang, David Lo:
Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go? SANER 2022: 385-395 - [c313]Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo:
Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks. SANER 2022: 408-419 - [c312]Abhishek Sharma, Gede Artha Azriadi Prana, Anamika Sawhney, Nachiappan Nagappan, David Lo:
Analyzing Offline Social Engagements: An Empirical Study of Meetup Events Related to Software Development. SANER 2022: 1122-1133 - [c311]Jieke Shi, Zhou Yang, Junda He, Bowen Xu, David Lo:
Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? SANER 2022: 1134-1138 - [i93]Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo:
Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks. CoRR abs/2201.00191 (2022) - [i92]Jieke Shi, Zhou Yang, Junda He, Bowen Xu, David Lo:
Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? CoRR abs/2201.01988 (2022) - [i91]Zhou Yang, Jieke Shi, Junda He, David Lo:
Natural Attack for Pre-trained Models of Code. CoRR abs/2201.08698 (2022) - [i90]Chengran Yang, Bowen Xu, Junaed Younus Khan, Gias Uddin, DongGyun Han, Zhou Yang, David Lo:
Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go? CoRR abs/2201.11327 (2022) - [i89]Hong Jin Kang, Khai Loong Aw, David Lo:
Detecting False Alarms from Automatic Static Analysis Tools: How Far are We? CoRR abs/2202.05982 (2022) - [i88]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 abs/2203.00803 (2022) - [i87]Chengran Yang, Ferdian Thung, David Lo:
Efficient Search of Live-Coding Screencasts from Online Videos. CoRR abs/2203.04519 (2022) - [i86]Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, David Lo:
PTM4Tag: Sharpening Tag Recommendation of Stack Overflow Posts with Pre-trained Models. CoRR abs/2203.10965 (2022) - [i85]Mohammad Abdul Hadi, Imam Nur Bani Yusuf, Ferdian Thung, Kien Gia Luong, Lingxiao Jiang, Fatemeh H. Fard, David Lo:
On the Effectiveness of Pretrained Models for API Learning. CoRR abs/2204.03498 (2022) - [i84]Chao Ni, Kaiwen Yang, Xin Xia, David Lo, Xiang Chen, Xiaohu Yang:
Defect Identification, Categorization, and Repair: Better Together. CoRR abs/2204.04856 (2022) - [i83]Eng Lieh Ouh, Benjamin Kok Siew Gan, David Lo:
ITSS: Interactive Web-Based Authoring and Playback Integrated Environment for Programming Tutorials. CoRR abs/2204.08593 (2022) - [i82]Fuxiang Chen, Fatemeh H. Fard, David Lo, Timofey Bryksin:
On the Transferability of Pre-trained Language Models for Low-Resource Programming Languages. CoRR abs/2204.09653 (2022) - [i81]Hong Jin Kang, David Lo:
Active Learning of Discriminative Subgraph Patterns for API Misuse Detection. CoRR abs/2204.09945 (2022) - [i80]Rishab Sharma, Fuxiang Chen, Fatemeh H. Fard, David Lo:
An Exploratory Study on Code Attention in BERT. CoRR abs/2204.10200 (2022) - [i79]Rahul Yedida, Hong Jin Kang, Huy Tu, Xueqi Yang, David Lo, Tim Menzies:
How to Find Actionable Static Analysis Warnings. CoRR abs/2205.10504 (2022) - [i78]Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, DongGyun Han, David Lo, Lingxiao Jiang:
Automatic Pull Request Title Generation. CoRR abs/2206.10430 (2022) - [i77]Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, DongGyun Han, David Lo, Lingxiao Jiang:
iTiger: An Automatic Issue Title Generation Tool. CoRR abs/2206.10811 (2022) - [i76]Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, David Lo, Lingxiao Jiang:
AutoPRTitle: A Tool for Automatic Pull Request Title Generation. CoRR abs/2206.11619 (2022) - [i75]Yaoxian Li, Shiyi Qi, Cuiyun Gao, Yun Peng, David Lo, Zenglin Xu, Michael R. Lyu:
A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities. CoRR abs/2207.04285 (2022) - [i74]Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo:
CARBON: A Counterfactual Reasoning based Framework for Neural Code Comprehension Debiasing. CoRR abs/2207.11104 (2022) - 2021
- [j120]Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Shanping Li:
What makes a popular academic AI repository? Empir. Softw. Eng. 26(1): 2 (2021) - [j119]Daoyuan Wu, Debin Gao, David Lo:
Scalable online vetting of Android apps for measuring declared SDK versions and their consistency with API calls. Empir. Softw. Eng. 26(1): 7 (2021) - [j118]Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li:
An exploratory study on the introduction and removal of different types of technical debt in deep learning frameworks. Empir. Softw. Eng. 26(2): 16 (2021) - [j117]Gede Artha Azriadi Prana, Abhishek Sharma, Lwin Khin Shar, Darius Foo, Andrew E. Santosa, Asankhaya Sharma, David Lo:
Out of sight, out of mind? How vulnerable dependencies affect open-source projects. Empir. Softw. Eng. 26(4): 59 (2021) - [j116]Jiachi Chen, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang:
Maintenance-related concerns for post-deployed Ethereum smart contract development: issues, techniques, and future challenges. Empir. Softw. Eng. 26(6): 117 (2021) - [j115]Cuiyun Gao, Jichuan Zeng, Federica Sarro, David Lo, Irwin King, Michael R. Lyu:
Do users care about ad's performance costs? Exploring the effects of the performance costs of in-app ads on user experience. Inf. Softw. Technol. 132: 106471 (2021) - [j114]Haoyu Ma, Jianwen Tian, Kefan Qiu, David Lo, Debin Gao, Daoyuan Wu, Chunfu Jia, Thar Baker:
Deep-Learning-Based App Sensitive Behavior Surveillance for Android Powered Cyber-Physical Systems. IEEE Trans. Ind. Informatics 17(8): 5840-5850 (2021) - [j113]Zhipeng Gao, Xin Xia, David Lo, John Grundy:
Technical Q8A Site Answer Recommendation via Question Boosting. ACM Trans. Softw. Eng. Methodol. 30(1): 11:1-11:34 (2021) - [j112]Hong Jin Kang, David Lo:
Adversarial Specification Mining. ACM Trans. Softw. Eng. Methodol. 30(2): 16:1-16:40 (2021) - [j111]Qiuyuan Chen, Xin Xia, Han Hu, David Lo, Shanping Li:
Why My Code Summarization Model Does Not Work: Code Comment Improvement with Category Prediction. ACM Trans. Softw. Eng. Methodol. 30(2): 25:1-25:29 (2021) - [j110]Haoye Wang, Xin Xia, David Lo, Qiang He, Xinyu Wang, John Grundy:
Context-aware Retrieval-based Deep Commit Message Generation. ACM Trans. Softw. Eng. Methodol. 30(4): 56:1-56:30 (2021) - [j109]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): 1277-1298 (2021) - [j108]Xuan Huo, Ferdian Thung, Ming Li, David Lo, Shu-Ting Shi:
Deep Transfer Bug Localization. IEEE Trans. Software Eng. 47(7): 1368-1380 (2021) - [j107]Yuanrui Fan, Xin Xia, Daniel Alencar da Costa, David Lo, Ahmed E. Hassan, Shanping Li:
The Impact of Mislabeled Changes by SZZ on Just-in-Time Defect Prediction. IEEE Trans. Software Eng. 47(8): 1559-1586 (2021) - [j106]Zhiyuan Wan, Xin Xia, David Lo, Gail C. Murphy:
How does Machine Learning Change Software Development Practices? IEEE Trans. Software Eng. 47(9): 1857-1871 (2021) - [j105]Zhongxin Liu, Xin Xia, David Lo, Zhenchang Xing, Ahmed E. Hassan, Shanping Li:
Which Variables Should I Log? IEEE Trans. Software Eng. 47(9): 2012-2031 (2021) - [j104]Weiqin Zou, David Lo, Pavneet Singh Kochhar, Xuan-Bach Dinh Le, Xin Xia, Yang Feng, Zhenyu Chen, Baowen Xu:
Smart Contract Development: Challenges and Opportunities. IEEE Trans. Software Eng. 47(10): 2084-2106 (2021) - [j103]Thong Hoang, Julia Lawall, Yuan Tian, Richard Jayadi Oentaryo, David Lo:
PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel. IEEE Trans. Software Eng. 47(11): 2471-2486 (2021) - [j102]Tao Zhang, Jiachi Chen, Xian Zhan, Xiapu Luo, David Lo, He Jiang:
Where2Change: Change Request Localization for App Reviews. IEEE Trans. Software Eng. 47(11): 2590-2616 (2021) - [j101]Zhipeng Gao, Lingxiao Jiang, Xin Xia, David Lo, John Grundy:
Checking Smart Contracts With Structural Code Embedding. IEEE Trans. Software Eng. 47(12): 2874-2891 (2021) - [c310]Lwin Khin Shar, Ta Nguyen Binh Duong, David Lo:
Empirical Evaluation of Minority Oversampling Techniques in the Context of Android Malware Detection. APSEC 2021: 349-359 - [c309]Stefanus A. Haryono, Ferdian Thung, David Lo, Lingxiao Jiang, Julia Lawall, Hong Jin Kang, Lucas Serrano, Gilles Muller:
AndroEvolve: Automated Update for Android Deprecated-API Usages. ICSE (Companion Volume) 2021: 1-4 - [c308]Zhiyuan Wan, Xin Xia, David Lo, Jiachi Chen, Xiapu Luo, Xiaohu Yang:
Smart Contract Security: A Practitioners' Perspective: The Artifact of a Paper Accepted in the 43rd IEEE/ACM International Conference on Software Engineering (ICSE 2021). ICSE (Companion Volume) 2021: 227-228 - [c307]Zejun Zhang, Yanming Yang, Xin Xia, David Lo, Xiaoxue Ren, John C. Grundy:
Unveiling the Mystery of API Evolution in Deep Learning Frameworks: A Case Study of Tensorflow 2. ICSE (SEIP) 2021: 238-247 - [c306]Junxiao Han, Shuiguang Deng, David Lo, Chen Zhi, Jianwei Yin, Xin Xia:
An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and Tencent. ICSE (SEIP) 2021: 298-307 - [c305]Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Yuan Wang, Shanping Li:
A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms. ICSE 2021: 1174-1185 - [c304]Haoye Wang, Xin Xia, David Lo, John C. Grundy, Xinyu Wang:
Automatic Solution Summarization for Crash Bugs. ICSE 2021: 1286-1297 - [c303]Zhiyuan Wan, Xin Xia, David Lo, Jiachi Chen, Xiapu Luo, Xiaohu Yang:
Smart Contract Security: a Practitioners' Perspective. ICSE 2021: 1410-1422 - [c302]Stefanus A. Haryono, Ferdian Thung, David Lo, Julia Lawall, Lingxiao Jiang:
Characterization and Automatic Updates of Deprecated Machine-Learning API Usages. ICSME 2021: 137-147 - [c301]Tingting Bi, Xin Xia, David Lo, Aldeida Aleti:
A First Look at Accessibility Issues in Popular GitHub Projects. ICSME 2021: 390-401 - [c300]Xin Zhou, DongGyun Han, David Lo:
Assessing Generalizability of CodeBERT. ICSME 2021: 425-436 - [c299]Stefanus A. Haryono, Ferdian Thung, David Lo, Julia Lawall, Lingxiao Jiang:
MLCatchUp: Automated Update of Deprecated Machine-Learning APIs in Python. ICSME 2021: 584-588 - [c298]Zhou Yang, Harshit Jain, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo:
BiasHeal: On-the-Fly Black-Box Healing of Bias in Sentiment Analysis Systems. ICSME 2021: 644-648 - [c297]Muhammad Hilmi Asyrofi, Zhou Yang, Jieke Shi, Chu Wei Quan, David Lo:
Can Differential Testing Improve Automatic Speech Recognition Systems? ICSME 2021: 674-678 - [c296]Kien Luong, Ferdian Thung, David Lo:
Disambiguating Mentions of API Methods in Stack Overflow via Type Scoping. ICSME 2021: 679-683 - [c295]Hong Jin Kang, Sheng Qin Sim, David Lo:
IoTBox: Sandbox Mining to Prevent Interaction Threats in IoT Systems. ICST 2021: 182-193 - [c294]Mohamad Yazdaninia, David Lo, Ashkan Sami:
Characterization and Prediction of Questions without Accepted Answers on Stack Overflow. ICPC 2021: 59-70 - [c293]Xing Hu, Zhipeng Gao, Xin Xia, David Lo, Xiaohu Yang:
Automating User Notice Generation for Smart Contract Functions. ASE 2021: 5-17 - [c292]Jiayuan Zhou, Michael Pacheco, Zhiyuan Wan, Xin Xia, David Lo, Yuan Wang, Ahmed E. Hassan:
Finding A Needle in a Haystack: Automated Mining of Silent Vulnerability Fixes. ASE 2021: 705-716 - [c291]Shengyi Pan, Lingfeng Bao, Xiaoxue Ren, Xin Xia, David Lo, Shanping Li:
Automating Developer Chat Mining. ASE 2021: 854-866 - [c290]Zhou Yang, Jieke Shi, Shaowei Wang, David Lo:
IncBL: Incremental Bug Localization. ASE 2021: 1223-1226 - [c289]Chang Xu, Siqi Ma, David Lo:
PLP 2021: Workshop on Programming Language Processing. KDD 2021: 4171-4172 - [c288]Tamir Mendel, Debin Gao, David Lo, Eran Toch:
An Exploratory Study of Social Support Systems to Help Older Adults in Managing Mobile Safety. MobileHCI 2021: 30:1-30:13 - [c287]Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann:
Automating the removal of obsolete TODO comments. ESEC/SIGSOFT FSE 2021: 218-229 - [c286]Jiakun Liu, Sebastian Baltes, Christoph Treude, David Lo, Yun Zhang, Xin Xia:
Characterizing search activities on stack overflow. ESEC/SIGSOFT FSE 2021: 919-931 - [c285]Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Yuan-Fang Li:
Code2Que: a tool for improving question titles from mined code snippets in stack overflow. ESEC/SIGSOFT FSE 2021: 1525-1529 - [c284]Zhou Yang, Muhammad Hilmi Asyrofi, David Lo:
BiasRV: uncovering biased sentiment predictions at runtime. ESEC/SIGSOFT FSE 2021: 1540-1544 - [c283]Muhammad Hilmi Asyrofi, Zhou Yang, David Lo:
CrossASR++: a modular differential testing framework for automatic speech recognition. ESEC/SIGSOFT FSE 2021: 1575-1579 - [c282]Deheng Yang, Yan Lei, Xiaoguang Mao, David Lo, Huan Xie, Meng Yan:
Is the Ground Truth Really Accurate? Dataset Purification for Automated Program Repair. SANER 2021: 96-107 - [c281]Mahshid Naghashzadeh, Amir Haghshenas, Ashkan Sami, David Lo:
How Do Users Answer MATLAB Questions on Q&A Sites? A Case Study on Stack Overflow and MathWorks. SANER 2021: 526-530 - [c280]Tianyi Yang, Cuiyun Gao, Jingya Zang, David Lo, Michael R. Lyu:
TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release. WWW (Companion Volume) 2021: 708-712 - [i73]Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li:
An Exploratory Study on the Introduction and Removal of Different Types of Technical Debt. CoRR abs/2101.03730 (2021) - [i72]Muhammad Hilmi Asyrofi, Imam Nur Bani Yusuf, Hong Jin Kang, Ferdian Thung, Zhou Yang, David Lo:
BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems. CoRR abs/2102.01859 (2021) - [i71]Zhiyuan Wan, Xin Xia, David Lo, Jiachi Chen, Xiapu Luo, Xiaohu Yang:
Smart Contract Security: a Practitioners' Perspective. CoRR abs/2102.10963 (2021) - [i70]Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Yuan Wang, Shanping Li:
A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms. CoRR abs/2103.00141 (2021) - [i69]Junxiao Han, Shuiguang Deng, David Lo, Chen Zhi, Jianwei Yin, Xin Xia:
An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and Tencent. CoRR abs/2103.01590 (2021) - [i68]Tingting Bi, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann, Denae Ford:
Accessibility in Software Practice: A Practitioner's Perspective. CoRR abs/2103.08778 (2021) - [i67]Mohamad Yazdaninia, David Lo, Ashkan Sami:
Characterization and Prediction of Questions without Accepted Answers on Stack Overflow. CoRR abs/2103.11386 (2021) - [i66]