Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 19 990 Ft

DPD courier 1 190 Ft Post 1 795 Ft Post 1 690 Ft Post 1 690 Ft GLS point 1 390 Ft FoxPost 1 190 Ft Packeta point 1 190 Ft DPD point 990 Ft GLS courier 1 790 Ft

Contact

How to shop

Help

My account

▸ Empty :-(

Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Books in English > Economics, Finance, Business & Management > Business & Management > Management & management techniques > Project management > Software Project Estimation - The Fundamentals for Providing High Quality Information to Decision Makers

Software Project Estimation - The Fundamentals for Providing High Quality Information to Decision Makers

Name: Software Project Estimation - The Fundamentals for Providing High Quality Information to Decision Makers
Brand: John Wiley & Sons Inc
SKU: 05074083
Price: 36319 HUF
Availability: InStock
Author: Alain Abran
ISBN: 9781118954089

Alain Abran

Language

English

Book Paperback

Libristo code: 05074083

Publishers John Wiley & Sons Inc, April 2015

This book helps build a sound engineering foundation to software estimation processes. It provides i... Full description

Libristo code: 05074083

248 b

36 319 Ft

In stock at our supplier Shipping in 9-15 days

30-day return policy

Customers also purchased

Malé exily Josef Straka

Sheet

2 302 Ft

This book helps build a sound engineering foundation to software estimation processes. It provides information on how to understand an organization's software development productivity, evaluate an organization's productivity using international repositories of software project data, and determine what criteria to look for to understand the quality of estimation models. From measurement and data collection to re-estimation and contingency planning at the portfolio level, this book will appeal to software managers and engineers who rely on credible software estimation models.