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Software maintainability: Systematic literature review and current trends
Software maintenance is an expensive activity that consumes a major portion of the cost of
the total project. Various activities carried out during maintenance include the addition of …
the total project. Various activities carried out during maintenance include the addition of …
Deep learning type inference
Dynamically typed languages such as JavaScript and Python are increasingly popular, yet
static ty** has not been totally eclipsed: Python now supports type annotations and …
static ty** has not been totally eclipsed: Python now supports type annotations and …
Lambdanet: Probabilistic type inference using graph neural networks
Static inference meets deep learning: a hybrid type inference approach for python
Type inference for dynamic programming languages such as Python is an important yet
challenging task. Static type inference techniques can precisely infer variables with enough …
challenging task. Static type inference techniques can precisely infer variables with enough …
Type4py: Practical deep similarity learning-based type inference for python
Dynamic languages, such as Python and Javascript, trade static ty** for developer
flexibility and productivity. Lack of static ty** can cause run-time exceptions and is a major …
flexibility and productivity. Lack of static ty** can cause run-time exceptions and is a major …
Finding the dwarf: recovering precise types from WebAssembly binaries
The increasing popularity of WebAssembly creates a demand for understanding and reverse
engineering WebAssembly binaries. Recovering high-level function types is an important …
engineering WebAssembly binaries. Recovering high-level function types is an important …
The evolution of type annotations in python: an empirical study
Type annotations and gradual type checkers attempt to reveal errors and facilitate
maintenance in dynamically typed programming languages. Despite the availability of these …
maintenance in dynamically typed programming languages. Despite the availability of these …
An empirical study on the impact of C++ lambdas and programmer experience
Lambdas have seen increasing use in mainstream programming languages, notably in Java
8 and C++ 11. While the technical aspects of lambdas are known, we conducted the first …
8 and C++ 11. While the technical aspects of lambdas are known, we conducted the first …
Generating Python Type Annotations from Type Inference: How Far Are We?
In recent years, dynamic languages such as Python have become popular due to their
flexibility and productivity. The lack of static ty** makes programs face the challenges of …
flexibility and productivity. The lack of static ty** makes programs face the challenges of …
Learning to predict user-defined types
TypeScript is a widely adopted gradual typed language where developers can optionally
type variables, functions, parameters and more. Probabilistic type inference approaches with …
type variables, functions, parameters and more. Probabilistic type inference approaches with …