Measuring GitHub Copilot's Impact on Productivity

Author:

Ziegler Albert1,Kalliamvakou Eirini1,Li X. Alice2,Rice Andrew1,Rifkin Devon1,Simister Shawn1,Sittampalam Ganesh1,Aftandilian Edward1

Affiliation:

1. GitHub, Inc., San Francisco, CA, USA

2. GitHub, San Francisco, CA, USA

Abstract

Case study asks Copilot users about its impact on their productivity, and seeks to find their perceptions mirrored in user data.

Publisher

Association for Computing Machinery (ACM)

Reference29 articles.

1. A Study of Visual Studio Usage in Practice

2. Austin J. et al. Program synthesis with large language models. CoRR abs/2108.07732 (2021); https://arxiv.org/abs/2108.07732

3. Learning Autocompletion from Real-World Datasets

4. Mind the gap: On the relationship between automatically measured and self-reported productivity;Beller M.;IEEE Software,2020

5. Chen M. et al. Evaluating large language models trained on code. CoRR abs/2107.03374 (2021); https://arxiv.org/abs/2107.03374

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