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Other literature type . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Conference object . 2024
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2024
License: CC BY
Data sources: Datacite
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Identifying Developer Personas Could Create Better Research Software (RS) Development

Authors: Anderson, Felicity;

Identifying Developer Personas Could Create Better Research Software (RS) Development

Abstract

This poster was created for the 2024 EPCC PhD seminar event showcasing EPCC PhD research projects. It focuses on results gathered from a pilot study into exploring GitHub repository data to find whether Developer Personas can be identified from real-world research software codebases, and how these might be described from developer/codebase interactions. The goal was to find whether 'superstar developers' could be identified from repository data, and whether this might be an initial 'developer persona' to explore and describe further. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green