Unveiling Experts in Data Science: A Mining Software Repository Perspective (S)

Data science is a field of knowledge that exploits various methods of collecting and analyzing data.Nowadays, data-driven software development is getting more common and multiple experts take part of the process, such as data scientists and software developers.Nevertheless, locating professionals who possess strong technical skills as a data scientist may be a difficult task because such data are not easy to verify.This paper explores the activity of data scientists in software repositories, such as commits, to identify their technical skills.By analyzing 18 data science projects, we identified 69 data scientists.A data science proficiency measurement was then conducted by counting and categorizing the number and types of applied changes.Our results shows that 68% of the data scientists are mono languages; i.e., they use a single programming language (Python).

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Publication Details

Journal
Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering
Published
2024-10-28
DOI
https://doi.org/10.18293/seke2024-143
Primary Topic
Data Mining Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Unveiling Experts in Data Science: A Mining Software Repository Perspective (S)

Eduardo Figueiredo, José Alberto Ferreira, Johnatan Oliveira
Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering
Data Mining Algorithms and Applications
article

Unveiling Experts in Data Science: A Mining Software Repository Perspective (S)

Eduardo Figueiredo, José Alberto Ferreira, Johnatan Oliveira
article en

Abstract

Data science is a field of knowledge that exploits various methods of collecting and analyzing data.Nowadays, data-driven software development is getting more common and multiple experts take part of the process, such as data scientists and software developers.Nevertheless, locating professionals who possess strong technical skills as a data scientist may be a difficult task because such data are not easy to verify.This paper explores the activity of data scientists in software repositories, such as commits, to identify their technical skills.By analyzing 18 data science projects, we identified 69 data scientists.A data science proficiency measurement was then conducted by counting and categorizing the number and types of applied changes.Our results shows that 68% of the data scientists are mono languages; i.e., they use a single programming language (Python).

Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge EngineeringVol. 2024
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Minas Gerais
Openalex Percentile: Top 60%
Data Mining Algorithms and Applications
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