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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
Languages
Python
Concepts
Machine Learning
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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.
Read more about Miroslaw Staron

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My view on the future

Based on my observations of the machine learning landscape today, with a particular focus on software engineering, I can see a few trends.

Language models will get better at completing software engineering tasks, such as requirements, testing, and documenting. This means that software engineers will be able to focus on their core work – engineering software – rather than on tedious, repetitive tasks. We will see models that will test software, document it, explain it, and maybe even repair it. The latest advancements in this field are very promising.

Hybrid models will be more popular. Combining symbolic analysis and neural networks will gain traction and be able to assist us in finding advanced vulnerabilities in software, as well as identifying them before they are exploited. This will make our software more robust and more resilient over time.

Large models and the availability of significant computational power will help us also to detect...

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Machine Learning Infrastructure and Best Practices for Software Engineers
Published in: Jan 2024Publisher: PacktISBN-13: 9781837634064
© 2024 Packt Publishing Limited All Rights Reserved

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

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