Search Results for author:
Found 8 papers, 6 papers with code
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences
Both approaches have significant drawbacks: grammar-based autocompletion is restricted in dynamically-typed language environments, whereas NLP-based autocompleters struggle to understand the semantics of the programming language and the developer's code context.
ManyTypes4Py: A Benchmark Python Dataset for Machine Learning-based Type Inference
Using this pipeline, the collected Python projects were analyzed and the results of the AST analysis were stored in JSON-formatted files.
Learning Off-By-One Mistakes: An Empirical Study
Mistakes in binary conditions are a source of error in many software systems.
Software Engineering
Präzi: From Package-based to Call-based Dependency Networks
Such networks help answer questions such as "How many packages have dependencies to packages with known security issues?"
Software Engineering
ConE: A Concurrent Edit Detection Tool for Large Scale Software Development
We study half a year of changes made to six large repositories in Microsoft in which at least 1, 000 pull requests are created each month.
Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python
It learns to discriminate between similar and dissimilar types in a high-dimensional space, which results in clusters of types.
Nudge: Accelerating Overdue Pull Requests Towards Completion
The key novelty of Nudge is that it succeeds in reducing pull request resolution time, while ensuring that developers perceive the notifications sent as useful, at the scale of thousands of repositories.
TypeWriter: Neural Type Prediction with Search-based Validation
Unfortunately, static type inference for dynamic languages is inherently limited, while probabilistic approaches suffer from imprecision.
Software Engineering
