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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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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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Ethics behind data from open source systems

Proprietary systems oftentimes have licenses that regulate who owns the data and for what purpose. For example, code review data from a company often belongs to the company. By working for the company, the employees usually sign off their rights to the data that they generate for the company. It is needed in the legal sense because the employees are getting compensated for that – usually in the form of salaries.

However, what the employees do not transfer to the company is the right to use their personal data freely. This means that when we work with source systems, such as the Gerrit review system, we should not extract personal information without the permission of the people involved. If we execute the query where masking of this data is not possible, we must ensure that the personal data is anonymized (as soon as it is possible) and is not leaked to the analysis. We must ensure that such personal data is not made publicly available...

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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