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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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Natural language data in software engineering and the rise of GitHub Copilot

Programming has always been a mixture of science, engineering, and creativity. Creating new programs and being able to instruct computers to do something has always been something that was considered worth paying for – that’s how all programmers make their living. There have been attempts to automate programming and to support smaller tasks – for example, provide programmers with suggestions on how to use a specific function or library method.

Good programmers, however, can make programs that last and that are readable for others. They can also make reliable programs that work without maintenance for a long period. The best programmers are the ones who can solve very difficult tasks and follow the principles and best practices of software engineering.

In 2020, something happened – GitHub Copilot entered the stage and showed that automated tools, based on large language models...

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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