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You're reading from  Machine Learning Infrastructure and Best Practices for Software Engineers

Product typeBook
Published inJan 2024
Reading LevelIntermediate
PublisherPackt
ISBN-139781837634064
Edition1st Edition
Languages
Python
Concepts
Machine Learning
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Author (1)
Miroslaw Staron
Miroslaw Staron
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Miroslaw Staron

Miroslaw Staron is a professor of Applied IT at the University of Gothenburg in Sweden with a focus on empirical software engineering, measurement, and machine learning. He is currently editor-in-chief of Information and Software Technology and co-editor of the regular Practitioner's Digest column of IEEE Software. He has authored books on automotive software architectures, software measurement, and action research. He also leads several projects in AI for software engineering and leads an AI and digitalization theme at Software Center. He has written over 200 journal and conference articles.
Read more about Miroslaw Staron

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Extracting data from product databases – GitHub and Git

JIRA and Gerrit are, to some extent, additional tools to the main product development tools. However, every software development organization uses a source code repository to store the main asset – the source code of the company’s software product. Today, the tools that are used the most are Git version control and its close relative, GitHub. Source code repositories can be a very useful source of data for machine learning systems – we can extract the source code of the product and analyze it.

GitHub is a great source of data for machine learning if we use it responsibly. Please remember that the source code provided as open source, by the community, is not for profiting off. We need to follow the licenses and we need to acknowledge the contributions that were made by the authors, contributors, and maintainers of the open source community. Regardless of the license, we are always able to analyze...

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Machine Learning Infrastructure and Best Practices for Software Engineers
Published in: Jan 2024Publisher: PacktISBN-13: 9781837634064
© 2024 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Miroslaw Staron

Miroslaw Staron is a professor of Applied IT at the University of Gothenburg in Sweden with a focus on empirical software engineering, measurement, and machine learning. He is currently editor-in-chief of Information and Software Technology and co-editor of the regular Practitioner's Digest column of IEEE Software. He has authored books on automotive software architectures, software measurement, and action research. He also leads several projects in AI for software engineering and leads an AI and digitalization theme at Software Center. He has written over 200 journal and conference articles.
Read more about Miroslaw Staron

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