Publisher's Synopsis
"This book stood out to me as having the strongest software development foundation of any I have seen. It prepares students for the mindset of testing code and writing reusable code".– Sarah Matzko, Clemson University.
"The Greatest strengths are the clear writing style and the generous use of examples. This book is the best data structures book I have ever seen." –Antonia Beady, Cal State
"The information on software testing is the greatest strength... The material on testing is desperately needed in curriculum today." – Barbara Gannod, Arizona State University.
""The authors have done a great job in presenting the classical data structure topics in the latest Object–Oriented feature available in JSDK 5. The approach is well designed, the explanations are clear and accurate, the sample code really works." – Marin Zhao, Mercer University
THINK, THEN CODETM
Successfully ascending a mountain takes tenacity, courage, skill, and most of all, preparation. Similarly, in today′s software engineering industry, the most important work takes place before you even start writing the code. To successfully implement a solution, you first have to work through your options and thoroughly analyze the expected performance of your design.
With Koffman and Wolfgang′s Objects, Abstraction, Data Structures, and Design: Using Java, Version 5.0 you′ll develop a thorough understanding of basic data structures and algorithms through an objects–first approach, as well as essential design skills and principles for those critical first steps in the software engineering process. Approximately 20 case studies show you how to apply those skills and principles to real–world problems.Along the way, you′ll gain an understanding of why different data structures are nee4ded, the applications they are suited for, and the advantages and disadvantages of their possible implantations.
Key Features:
- Objects–early approach
- Data structures are presente4rd in the context of software engineering principles
- 20 case studies reinforce good programming practice
- Problem–solving methodology used throughout..."Think, then code!"
- Emphasis on the Java API and the Collections framework
- Optional coverage of event–driven programming
- Effective pedagogy.
