Reader small image

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
Right arrow
Author (1)
Miroslaw Staron
Miroslaw Staron
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

Right arrow

Numerical data

Numerical data usually comes in the form of tables of numbers, kind of like database tables. One of the most common data in this form is metrics data – for example, the standard object-oriented metrics that have been used since the 1980s.

Numerical data is often the result of a measurement process. The measurement process is a process where we quantify the empirical properties of an entity using measurement instruments to a number. The process must guarantee that important empirical properties are preserved in the mathematical domain – that is, in the numbers. Figure 6.1 shows an example of this process:

Figure 6.1 – The measurement process with an example of quality measurement using defects

Figure 6.1 – The measurement process with an example of quality measurement using defects

The important part of this process consists of three elements. First is the measurement instrument, which needs to map the empirical properties to numbers in a true way. Then, there are the measurement standards, such as...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
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