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Data Labelling

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Abstract and 1. Introduction

2. Methodology and 2.1. Research Questions

2.2. Data Collection

2.3. Data Labelling

2.4. Data Extraction

2.5. Data Analysis

3. Results and Interpretation and 3.1. Type of Problems (RQ1)

3.2. Type of Causes (RQ2)

3.3. Type of Solutions (RQ3)

4. Implications

4.1. Implications for the Copilot Users

4.2. Implications for the Copilot Team

4.3. Implications for Researchers

5. Threats to Validity

6. Related Work

6.1. Evaluating the Quality of Code Generated by Copilot

6.2. Copilot’s Impact on Practical Development and 6.3. Conclusive Summary

7. Conclusions, Data availability, Acknowledgments, CRediT authorship contribution statement and References


Authors:

(1) Xiyu Zhou, School of Computer Science, Wuhan University, Wuhan, China ([email protected]);

(2) Peng Liang (Corresponding Author), School of Computer Science, Wuhan University, Wuhan, China ([email protected]);

(3) Beiqi Zhang, School of Computer Science, Wuhan University, Wuhan, China ([email protected]);

(4) Zengyang Li, School of Computer Science, Central China Normal University, Wuhan, China ([email protected]);

(5) Aakash Ahmad, School of Computing and Communications, Lancaster University Leipzig, Leipzig, Germany ([email protected]);

(6) Mojtaba Shahin, School of Computing Technologies, RMIT University, Melbourne, Australia ([email protected]);

(7) Muhammad Waseem, Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland ([email protected]).


This paper is available on arxiv under CC BY 4.0 DEED license.


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