Process Improvement and CMMI(R) for Systems and Software provides a workable approach for achieving cost-effective process improvements for systems and software. Focusing on planning, implementation, and management in system and software processes, it supplies a brief overview of basic strategic planning models and covers fundamental concepts and approaches for system and software measurement, testing, and improvements.
The book represents the significant cumulative experience of the authors who were among the first to introduce quality management to the software development processes. It introduces CMMI(R) and various other software and systems process models. It also provides readers with an easy-to-follow methodology for evaluating the status of development and maintenance processes and for determining the return on investment for process improvements.
The authors examine beta testing and various testing and usability programs. They highlight examples of useful metrics for monitoring process improvement projects and explain how to establish baselines against which to measure achieved improvements. Divided into four parts, this practical resource covers:
- Strategy and basics of quality and process improvement
- Assessment and measurement in systems and software
- Improvements and testing of systems and software
- Managing and reporting data
The text concludes with a realistic case study that illustrates how the process improvement effort is structured and brings together the methods, tools, and techniques discussed. Spelling out how to lay out a reasoned plan for process improvement, this book supplies readers with concrete action plans for setting up process improvement initiatives that are effective, efficient, and sustainable.
About the Author: Ron S. Kenett, PhD is CEO and senior partner of KPA Ltd., an international management consulting firm, research professor at the University of Torino, Torino, Italy and international research professor, Gerstein Fisher Center for Finance and Risk Engineering, NYU Poly, NY, USA. He has more than 25 years of experience in restructuring and improving the competitive position of organizations by integrating statistical methods, process improvements, supporting technologies, and modern quality management systems. For ten years he served as Director of Statistical Methods for Tadiran Telecommunications Corporation and, previously, as researcher at Bell Laboratories in New Jersey. His 150 publications are on topics in industrial statistics, software quality, and quality management.
Ron is co-author of four books including Modern Industrial Statistics: Design and Control of Quality and Reliability (with S. Zacks), Duxbury Press, 1998, Chinese edition, 2004 and Software Process Quality: Management and Control (with E. Baker), Marcel Dekker Inc., 1999, which is based on a course he taught at Tel Aviv University School of Engineering. He is editor in chief of the Encyclopedia of Statistics in Quality and Reliability (Wiley, 2007) and of the international journal Quality Technology and Quantitative Management. He is past president of ENBIS, the European Network for Business and Industrial Statistics and has been a consultant for hp, EDS, SanDisk, National Semiconductors, Cisco, Intel and Motorola. Professor Kenett's PhD is in mathematics from the Weizmann Institute of Science, Rehovot, Israel, and a BSc in mathematics with first class honors from Imperial College, London University.
Emanuel R. Baker, PhD is a principal owner of Process Strategies, Inc., an internationally recognized software and systems engineering consulting firm based in Los Angeles, CA and Walpole, ME. He and Dr. Ron Kenett are co-authors of the book, Sof
