OverCode
By Elena L. Glassman, J. Scott, Rishabh Singh, Philip J. Guo, Robert C. Miller. 2015
92 citations recorded by the source corpus.
Subfields: Computer Science Applications, Information Systems, Software, Program Analysis & Verification, Human-Computer Interaction
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
In Software
In Human-Computer Interaction
Citations in the corpus
- A Survey of Machine Learning for Big Code and Naturalness (2017, neutral): “revent some classes of bugs and make code easier to comprehend, navigate, and maintain [5]. In massive, open, online courses, coding conventionshelp teachersidentify andunderstand commonstudent errors[71].Enforcingcoding conventions is tedious. Worse, it is sometimes difficult to achieve consensus on ”
- Grounded Copilot: How Programmers Interact with Code-Generating Models (2022, methodology): “This observation motivates the need for a tool that would help programmers explore a large space of suggestions, perhaps similarly to how Overcode [Glassman et al. 2015] supports exploring a space of student solutions to a programming assignment.”