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HeFDI Code School: Sustainable Research Software - Clean Code and Refactoring

Authors: Sven Marcus; Sören Peters; Jan Linxweiler;

HeFDI Code School: Sustainable Research Software - Clean Code and Refactoring

Abstract

Scientific software is in many disciplines crucial for understanding and reusing research data and a cornerstone for reproducibility of research results. The HeFDI Code School adresses the need of especially early career researchers on learning how to create good scientific software and increase the quality of their code for better reusability and sustainability. Together with the colleagues from Suresoft project and NFDI4Ing we offer a series of four workshops. Participants of these workshops will learn methods and techniques to increase the quality of their code, how to produce understandable and therefore reusable code, and to increase the sustainability of scientific software. Workshop - May 26 - Clean Code and Refactoring In the scientific environment with ever-changing requirements, it is important to produce source code that can be read, understood and modified by ourselves or others. This workshop will teach you how to apply clean code principles and refactoring techniques to produce high quality, maintainable code. Agenda: Motivation Clean Code and Refactoring with interactive hands-on examples Tipps for working with Python

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Keywords

Clean Code, Refactoring, Software Engineering, RSE

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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1
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234
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