Guidelines for the Efficient Use of the Bogus Library in C# for Fake Data Generation

The Bogus library is widely used for generating fake data in software development projects, especially in testing environments. This article presents a set of guidelines and best practices for the efficient use of Bogus in C#. The goal is to assist developers in creating realistic and varied data, ensuring that software tests are robust and representative. The article also explores some advanced features of the library.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-19
DOI
https://doi.org/10.5281/zenodo.13331693
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Guidelines for the Efficient Use of the Bogus Library in C# for Fake Data Generation

Zenodo (CERN European Organization for Nuclear Research)
Advanced Malware Detection Techniques
article

Guidelines for the Efficient Use of the Bogus Library in C# for Fake Data Generation

article en

Abstract

The Bogus library is widely used for generating fake data in software development projects, especially in testing environments. This article presents a set of guidelines and best practices for the efficient use of Bogus in C#. The goal is to assist developers in creating realistic and varied data, ensuring that software tests are robust and representative. The article also explores some advanced features of the library.

Zenodo (CERN European Organization for Nuclear Research)
Flint Institute Of Arts (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 62%
Advanced Malware Detection Techniques
DOIOpen Access PDFOpenAlex
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Guidelines for the Efficient Use of the Bogus Library in C# for Fake Data Generation · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS