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

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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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References

  • Al-Sabbagh, K.W., et al. Selective regression testing based on big data: comparing feature extraction techniques. in 2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). 2020. IEEE.
  • Staron, M., et al. Improving Quality of Code Review Datasets–Token-Based Feature Extraction Method. in Software Quality: Future Perspectives on Software Engineering Quality: 13th International Conference, SWQD 2021, Vienna, Austria, January 19–21, 2021, Proceedings 13. 2021. Springer.
  • Sennrich, R., B. Haddow, and A. Birch, Neural machine translation of rare words with subword units. arXiv preprint arXiv:1508.07909, 2015.
  • Gage, P., A new algorithm for data compression. C Users Journal, 1994. 12(2): p. 23-38.
  • Kudo, T. and J. Richardson, SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing. arXiv preprint arXiv:1808.06226, 2018.
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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