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Hardcover Applied Software Measurement: Assuring Productivity and Quality Book

ISBN: 0070328137

ISBN13: 9780070328136

Applied Software Measurement: Assuring Productivity and Quality

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Format: Hardcover

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Book Overview

Addressing the massive measurement changes wrought by new technologies and paradigms, as well as outsourcing and reengineering, this second edition fully discusses software metrics in relation to... This description may be from another edition of this product.

Customer Reviews

3 ratings

Outstanding, understandable by non technical managers

I bought this book as a suppliment to Software Engineering Economics, by Boehm, because of it's later publication date. However, once I read the book I believe that the Boehm should be a suppliment to this work. Before reading this book I was unfamiliar with function points. We are now implementing them in our company. If this book does not bridge the gap between technical and management it goes a long way toward that end.

Care about the quality of your software? Read this.

It's hard to encapsulate in a few words what this book has done for me since I've started reading it. If you're part of any stage of your company's development cycle and care about the quality of the products you deliver ... this is a must read. Chris Showers Inmar Enterprises

Every software programmer should read Chapter 3

Software engineering is not a discipline backed by science; it has many theories but few metrics and objective data to evaluate the theories. However, software must be built, people are hired to meet important business goals, and projects and careers are dependent on an accurate assessment of project factors. Jones' book supplies an objective way for software engineering managers to compare their projects against empirical data gathered from over 6700 software projects. The next time a manager challenges your effort and schedule estimates, you can turn to Jones' book (Chapter 3 is a must read for even time pressed managers and the charts alone worth the value of the book) and find the objective data to back you up. Neil Olsen
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