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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
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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.
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Data is all around us, but can we really use it?

One of the ways in which we protect subjects and data is to use appropriate licenses for the use of data. Licenses are a sort of contract in that the licensor grants permission to use the data in a specific way to a licensee. Licenses are used for both software products (algorithms, components) and data. The following license models are the most commonly used ones in contemporary software:

  • Proprietary license: It is a model whereby the licensor owns the data and grants permission to use the data for certain purposes, often for profit. In such a contract, the parties usually regulate what the data can be used for, how, and for how long. These licenses also regulate liabilities for both parties.
  • Permissive open licenses: These are licenses that provide the licensee almost unrestricted access to the data, at the same time limiting the liability of the licensor. The licensee is often not required to provide access to the licensee...
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You have been reading a chapter from
Machine Learning Infrastructure and Best Practices for Software Engineers
Published in: Jan 2024Publisher: PacktISBN-13: 9781837634064

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