Reliability of Function Points Measurement: A Field Experiment

Chris F. Kemerer

ISBN 10: 133453926X / ISBN 13: 9781334539268

Published by Forgotten Books, 2024

About this Item

Print on Demand. This book explores the reliability of function points, a metric used in the planning and control of software development. Previous research on the topic has been scarce and produced conflicting results. The author conducted a large-scale field experiment involving measurements of 100 medium-sized software applications to reach statistically significant conclusions. The results showed that the FP counts from pairs of raters using the standard method differed on average by 15% and that the correlation across the two methods tested was as high as .95 for the data in this sample. These results suggest that FPs are much more reliable than previously suspected and should encourage wider acceptance and adoption of FPs as a software metric. The author emphasizes the significance of this book's findings on the field of software engineering management, as it provides crucial data on the validity of a widely used metric. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.

Seller Inventory # 9781334539268_0

Bibliographic Details

• Title: Reliability of Function Points Measurement: A Field Experiment
• Publisher: Forgotten Books
• Publication Date: 2024
• Language: English
• ISBN 10: 133453926X
• ISBN 13: 9781334539268
• Binding: Paperback
• Condition: New
• Book Type: print-on-demand item
• Seller catalogs:
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About this title

Synopsis

This book explores the reliability of function points, a metric used in the planning and control of software development. Previous research on the topic has been scarce and produced conflicting results. The author conducted a large-scale field experiment involving measurements of 100 medium-sized software applications to reach statistically significant conclusions. The results showed that the FP counts from pairs of raters using the standard method differed on average by 15% and that the correlation across the two methods tested was as high as .95 for the data in this sample. These results suggest that FPs are much more reliable than previously suspected and should encourage wider acceptance and adoption of FPs as a software metric. The author emphasizes the significance of this book's findings on the field of software engineering management, as it provides crucial data on the validity of a widely used metric.