David Lo
www.mysmu.edu
0000-0002-4367-7201
568 papers found
Refreshing results…
BugsInPy: a database of existing bugs in Python programs to enable controlled testing and debugging studies
Enhancing developer interactions with programming screencasts through accurate code extraction
Effort-aware just-in-time defect identification in practice: a case study at Alibaba
DeepCommenter: a deep code comment generation tool with hybrid lexical and syntactical information
Do users care about ad’s performance costs? Exploring the effects of the performance costs of in-app ads on user experience
Generating Question Titles for Stack Overflow from Mined Code Snippets
Smart Contract Repair
CrossASR: Efficient Differential Testing of Automatic Speech Recognition via Text-To-Speech
DCT: An Scalable Multi-Objective Module Clustering Tool
How (Not) to Find Bugs: The Interplay Between Merge Conflicts, Co-Changes, and Bugs
An Empirical Study of the Dependency Networks of Deep Learning Libraries
Sentiment Analysis for Software Engineering: How Far Can Pre-trained Transformer Models Go?
Prevalence, Contents and Automatic Detection of KL-SATD
Sentiment analysis over collaborative relationships in open source software projects
SPINFER: Inferring semantic patches for the Linux kernel
Automatic Android Deprecated-API Usage Update by Learning from Single Updated Example
Mining and predicting micro-process patterns of issue resolution for open source software projects
Keen2Act: Activity Recommendation in Online Social Collaborative Platforms
A Machine Learning Approach for Vulnerability Curation
Is using deep learning frameworks free?
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