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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

  • Staron, M. and W. Meding. Short-term defect inflow prediction in large software project-an initial evaluation. In International Conference on Empirical Assessment in Software Engineering (EASE). 2007.
  • Prykhodko, S. Developing the software defect prediction models using regression analysis based on normalizing transformations. In Modern problems in testing of the applied software (PTTAS-2016), Abstracts of the Research and Practice Seminar, Poltava, Ukraine. 2016.
  • Ochodek, M., et al., Chapter 8 Recognizing Lines of Code Violating Company-Specific Coding Guidelines Using Machine Learning. In Accelerating Digital Transformation: 10 Years of Software Center. 2022, Springer. p. 211-251.
  • Ibrahim, D.R., R. Ghnemat, and A. Hudaib. Software defect prediction using feature selection and random forest algorithm. In 2017 International Conference on New Trends in Computing Sciences (ICTCS). 2017. IEEE.
  • Ochodek, M., M. Staron, and W. Meding, Chapter 9 SimSAX: A Measure...
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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