Productivity assessment of neural code completion
A Ziegler, E Kalliamvakou, XA Li, A Rice… - Proceedings of the 6th …, 2022 - dl.acm.org
Proceedings of the 6th ACM SIGPLAN International Symposium on Machine …, 2022•dl.acm.org
Neural code synthesis has reached a point where snippet generation is accurate enough to
be considered for integration into human software development workflows. Commercial
products aim to increase programmers' productivity, without being able to measure it directly.
In this case study, we asked users of GitHub Copilot about its impact on their productivity,
and sought to find a reflection of their perception in directly measurable user data. We find
that the rate with which shown suggestions are accepted, rather than more specific metrics …
be considered for integration into human software development workflows. Commercial
products aim to increase programmers' productivity, without being able to measure it directly.
In this case study, we asked users of GitHub Copilot about its impact on their productivity,
and sought to find a reflection of their perception in directly measurable user data. We find
that the rate with which shown suggestions are accepted, rather than more specific metrics …
Neural code synthesis has reached a point where snippet generation is accurate enough to be considered for integration into human software development workflows. Commercial products aim to increase programmers’ productivity, without being able to measure it directly. In this case study, we asked users of GitHub Copilot about its impact on their productivity, and sought to find a reflection of their perception in directly measurable user data. We find that the rate with which shown suggestions are accepted, rather than more specific metrics regarding the persistence of completions in the code over time, drives developers’ perception of productivity.