Skip to Main Content
Measuring the Software Process: Statistical Process Control for Software Process Improvement
book

Measuring the Software Process: Statistical Process Control for Software Process Improvement

by William A. Florac, Anita D. Carleton
July 1999
Intermediate to advanced content levelIntermediate to advanced
272 pages
7h 45m
English
Addison-Wesley Professional
Content preview from Measuring the Software Process: Statistical Process Control for Software Process Improvement

3 Collecting the Data

An element of chance enters into every measurement; hence every set of measurements is inherently a sample of certain more or less unknown conditions. Even in the few instances where we believe that the objective reality under measurement is a constant, the measurements of this constant are influenced by chance or unknown causes. Hence, the set of measurements of any quantity, even though the quantity itself be a constant, is a sample of a possible infinite set of measurements which we might make of this same quantity under essentially the same conditions.

From this viewpoint, measurement is a sampling process designed to tell us something about the universe in which we live that will enable us to predict the future in ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Evolving Software Processes

Evolving Software Processes

Arif Ali Khan, Dac-Nhuong Le
Internal Audit Quality

Internal Audit Quality

Sally-Anne Pitt
Scientific Methods Used in Research and Writing

Scientific Methods Used in Research and Writing

Mangey Ram, Om Prakash Nautiyal, Durgesh Pant

Publisher Resources

ISBN: 9780768685282Purchase book