Software Process Dynamics
by Madachy, Raymond J.Edition: 1st
Format: eBook
Pub. Date: 2007-04-30
Publisher(s): Wiley-IEEE Press
Other versions by this Author
-
eCampus.com Device Compatibility Matrix
Click the device icon to install or view instructions
Apple iOS | iPad, iPhone, iPod
Android Devices | Android Tables & Phones OS 2.2 or higher | *Kindle Fire
Windows 10 / 8 / 7 / Vista / XP
Mac OS X | **iMac / MacbookEnjoy offline reading with these devicesiPad, iPhone, iPod
Android 2.2 +Kindle FireWindows
10 / 8 / 7 / Vista / XPMac
List Price: $126.25
Rent Textbook
Select for Price
Rent Digital
$132.00*
New Textbook
We're Sorry
Sold Out
Used Textbook
We're Sorry
Sold Out
Summary
This book is designed for professionals and students in software engineering or information technology who are interested in understanding the dynamics of software development in order to assess and optimize their own process strategies. It explains how simulation of interrelated technical and social factors can provide a means for organizations to vastly improve their processes. It is structured for readers to approach the subject from different perspectives, and includes descriptive summaries of the best research and applications.
Author Biography
Raymond J. Madachy, PhD, is a Research Assistant Professor in the USC Industrial and Systems Engineering Department and a Principal of the USC Center for Systems and Software Engineering. Dr. Madachy's current research interests include modeling and simulation of processes for architecting and engineering of complex software-intensive systems; economic analysis and value-based engineering of software-intensive systems; systems and software measurement, process improvement, and quality; quantitative methods for systems risk management; integrating systems engineering and software engineering disciplines; and integrating empirical-based research with process simulation. He is a Senior Member of IEEE and a member of ACM.
Table of Contents
Foreword (Barry Boehm).
Preface.
PART 1 FUNDAMENTALS.
Chapter 1 Introduction and Background.
1.1 Systems, Processes, Models, and Simulation.
1.2 Systems Thinking.
1.3 Basic Feedback Systems Concepts Applied to the Software Process.
1.4 Brooks's Law Example.
1.5 Software Process Technology Overview.
1.6 Challenges for the Software Industry.
1.7 Major References.
1.8 Chapter 1 Summary.
1.9 Exercises.
Chapter 2 The Modeling Process with System Dynamics.
2.1 System Dynamics Background.
2.2 General System Behaviors.
2.3 Modeling Overview.
2.4 Problem Definition.
2.5 Model Conceptualization.
2.6 Model Formulation and Construction.
2.7 Simulation.
2.8 Model Assessment.
2.9 Policy Analysis.
2.10 Continuous Model Improvement.
2.11 Software Metrics Considerations.
2.12 Project Management Considerations.
2.13 Modeling Tools.
2.14 Major References.
2.15 Chapter 2 Summary.
2.16 Exercises.
Chapter 3 Model Structures and Behaviors for Software Processes.
3.1 Introduction.
3.2 Model Elements.
3.3 Generic Flow Processes.
3.4 Infrastructures and Behaviors.
3.5 Software Process Chain Infrastructures.
3.6 Major References.
3.7 Chapter 3 Summary.
3.8 Exercises.
PART 2 APPLICATIONS AND FUTURE DIRECTIONS.
Introduction to Applications Chapters.
Chapter 4 People Applications.
4.1 Introduction.
4.2 Overview of Applications.
4.3 Project Workforce Modeling.
4.3.1 Example: Personnel Sector Model.
4.4 Exhaustion and Burnout.
4.4.1 Example: Exhaustion Model.
4.5 Learning.
4.6 Team Composition.
4.7 Other Application Areas.
4.8 Major References.
4.9 Chapter 4 Summary.
4.10 Exercises.
Chapter 5 Process and Product Applications.
5.1 Introduction.
5.2 Overview of Applications.
5.3 Peer Reviews.
5.4 Global Process Feedback (Software Evolution).
5.5 Software Reuse.
5.6 Commercial Off-the-Shelf Software (COTS)-Based Systems.
5.7 Software Architecting.
5.8 Quality and Defects.
5.9 Requirements Volatility.
5.10 Software Process Improvement.
5.11 Major References.
5.12 Provided Models.
5.13 Chapter 5 Summary.
5.14 Exercises.
Chapter 6 Project and Organization Applications.
6.1 Introduction.
6.2 Overview of Applications.
6.3 Integrated Project Modeling.
6.4 Software Business Case Analysis.
6.5 Personnel Resource Allocation.
6.6 Staffing.
6.7 Earned Value.
6.8 Major References.
6.9 Provided Models.
6.10 Chapter 6 Summary.
6.11 Exercises.
Chapter 7 Current and Future Directions.
7.1 Introduction.
7.2 Simulation Environments and Tools.
7.3 Model Structures and Component-Based Model Development.
7.4 New and Emerging Trends for Applications.
7.5 Model Integration.
7.6 Empirical Research and Theory Building.
7.7 Process Mission Control Centers, Analysis, and Training Facilities.
7.8 Chapter 7 Summary.
7.9 Exercises.
Appendix A: Introduction to Statistics of Simulation.
A.1 Risk Analysis and Probability.
A.2 Probability Distributions.
A.3 Monte Carlo Analysis.
A.4 Analysis of Simulation Input.
A.5 Experimental Design.
A.6 Analysis of Simulation Output.
A.7 Major References.
A.8 Appendix A Summary.
A.9 Exercises.
Appendix B: Annotated System Dynamics Bibliography.
Appendix C: Provided Models.
References.
Index.
An electronic version of this book is available through VitalSource.
This book is viewable on PC, Mac, iPhone, iPad, iPod Touch, and most smartphones.
By purchasing, you will be able to view this book online, as well as download it, for the chosen number of days.
Digital License
You are licensing a digital product for a set duration. Durations are set forth in the product description, with "Lifetime" typically meaning five (5) years of online access and permanent download to a supported device. All licenses are non-transferable.
More details can be found here.
A downloadable version of this book is available through the eCampus Reader or compatible Adobe readers.
Applications are available on iOS, Android, PC, Mac, and Windows Mobile platforms.
Please view the compatibility matrix prior to purchase.