Agile Software Development
1st Edition
Published on 8. December 2023
96 pages
978-1-003-80243-3 (ISBN)
Description
Agile Software Development is an introduction to agile software development methods. Agile methods try to diminish complexity, increase transparency, and reach a deployable product in a shorter time frame. Agile methods use an iterative and incremental approach to minimize risks and to avoid maldevelopment. The book gives a short introduction to agile methods and agile software development principles. It serves as a study book and as a reference manual. Based on the official Scrum Guide, the book also covers other topics such as best practices for agile software development and agile testing. It targets practitioners who want to start with agile software development, as well as developers or project managers who already use agile methodologies. The book can be read from the beginning, but each chapter has been written in a way so it can be read individually.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ebooks
Target group
Professional and scholarly
Product notice
Reflowable
ISBN-13
978-1-003-80243-3 (9781003802433)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Peter Wlodarczak
Agile Software Development
Book
12/2023
1st Edition
Auerbach
€125.20
Shipment within 10-20 days
Peter Wlodarczak
Agile Software Development
Book
12/2023
1st Edition
Auerbach
€36.60
Shipment within 10-20 days
Person
Peter Wlodarczak is an IT consultant in Data Analytics and Machine Learning. Born in Basel, Switzerland, he holds a Master's degree and a PhD from the University of Southern Queensland, Australia. He has many years of experience in large software engineering and data analysis projects. He has published more than 20 papers and book chapters in this area and has presented his work in many conferences. His research interests include, among others, Machine Learning, eHealth, and Bio Computing.
Content
1. Introduction 2. Classical Model 3. Agile Methods 4. Scrum 5. Best Practices for the Dev Team 6. Testing 7. Appendix
