Search Images Maps Play YouTube News Gmail Drive More »
My library | Help | Advanced Book Search | Web History | Sign in

Books

Software Process Dynamics

Front Cover
0 Reviews
John Wiley & Sons, Dec 4, 2007 - Computers - 432 pages
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.
  

What people are saying - Write a review

We haven't found any reviews in the usual places.

Related books

Contents

Preface
xvii
PART 1 FUNDAMENTALS
1
PART 2 APPLICATIONS AND FUTURE DIRECTIONS
211
Appendix A Introduction to Statistics of Simulation
501
Appendix B Annotated System Dynamics Bibliography
531
Appendix C Provided Models
565
References
571
Index
593
Copyright

Common terms and phrases

References to this book

From Google Scholar

Case studies in software process modeling with system dynamics
Ray Madachy, Denton Tarbet - 2000 - Software Process: Improvement and Practice
Spiral Lifecycle Increment Modeling for New Hybrid Processes
Raymond Madachy, Barry Boehm, Jo Ann Lane
Achievements and Challenges in Software Resource Estimation
Barry W Boehm, Ricardo Valerdi - development
All Scholar search results »

About the author (2007)

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.

Bibliographic information