Gender Bias in Remote Pair Programming: Acknowledgments and References

The Twincode study covers the execution plan, including recruitment, training, and experiment execution, followed by data analysis procedures. Acknowledgments and references are provided, along with author information. The study is available under the CC BY 4.0 DEED license on arxiv.


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Abstract and 1 Introduction

1.1 The twincode platform

1.2 Related Work

2 Research Questions

3 Variables

3.1 Independent Variables

3.2 Dependent Variables

3.3 Confounding Variables

4 Participants

5 Execution Plan and 5.1 Recruitment

5.2 Training and 5.3 Experiment Execution

5.4 Data Analysis

Acknowledgments and References

ACKNOWLEDGMENTS

We would like to thank the students who volunteered to participate in the pilot studies at the University of California, Berkeley and the University of Seville. We particularly acknowledge Vron Vance’s assistance regarding inclusive language around gender identity.

\ This work has been partially supported by FEDER/Ministerio de Ciencia e Innovación – Agencia Estatal de Investigación under projects OPHELIA (RTI2018–101204–B–C22), HORATIO (RTI2018- 101204–B–C21), and Junta de Andalucía under project EKIPMENTPLUS (P18–FR–2895).

REFERENCES

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:::info Authors:

(1) Amador Durán, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain (amador@us.es);

(2) Pablo Fernández, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain (pablofm@us.es);

(3) Beatriz Bernárdez, I3US Institute, Universidad de Sevilla, Sevilla, Spain (beat@us.es);

(4) Nathaniel Weinman, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA (nweinman@berkeley.edu);

(5) Aslı Akalın, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA (asliakalin@berkeley.edu);

(6) Armando Fox, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA (fox@berkeley.edu).

:::


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

:::

\


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