A Study of Visual Studio Usage in Practice

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How researchers see this paper

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CodeFill: Multi-token Code Completion by Jointly learning from Structure and Naming Sequences (2022, background): “It helps developers finish their programming tasks faster by decreasing the typing effort and saving keystrokes, correcting typographical errors, and enabling them to explore APIs in a context-sensitive manner [5].”
In-IDE Code Generation from Natural Language: Promise and Challenges (2021, methodology): “With the recent advances in machine learning and deep learning, example tools like IntelliCode37 for Visual Studio, Codota38 and TabNine39 present AI-assisted code-suggestion and code-completion based on the current source code context, learned from abundant amounts of projects over the Internet.”
Productivity assessment of neural code completion (2022, background): “1 Introduction Code completion systems that offer suggestions to a developer on the basis of contextual information from the IDE have been shown to be by far the most frequently used kind of programmer assistance [1].”
SmartPaste: Learning to Adapt Source Code (2017, unknown): “This is a common scenario in software development [4], when developers copy a piece of code from a website ( e.g. StackOverﬂow) or from an existing project into a new context.”