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Advances in Computers Quality Software Development

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ISBN-10: 0120121662

ISBN-13: 9780120121663

Edition: 66th 2006

Authors: Marvin Zelkowitz

List price: $205.00
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Description:

This volume of Advances in Computers is number 66 in the series that began back in 1960. This series presents the ever changing landscape in the continuing evolution of the development of the computer and the field of information processing. Each year three volumes are produced presenting approximately 20 chapters that describe the latest technology in the use of computers today. Volume 66, subtitled Quality software development, is concerned about the current need to create quality software. It describes the current emphasis in techniques for creating such software and in methods to demonstrate that the software indeed meets the expectations of the designers and purchasers of that software.
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Book details

List price: $205.00
Edition: 66th
Copyright year: 2006
Publisher: Elsevier Science & Technology
Publication date: 4/25/2006
Binding: Hardcover
Pages: 344
Size: 5.98" wide x 9.02" long x 0.29" tall
Weight: 1.452
Language: English

Contributors
Preface
Calculating Software Process Improvement's Return on Investment
Introduction
Return-on-Investment for Analysing Cost and Benefits
Using Quantitative Models for SPI Decision Making
Using Quantitative Measurements for SPI Investment Evaluations
Conclusions
Acknowledgements
Background of the Quantitative Models
References
Quality Problem in Software Measurement Data
Introduction
Noise-Handling Techniques
Ensemble-Partitioning Filter
Modeling Methodology
Empirical Evaluation
Conclusion
Acknowledgements
References
Requirements Management for Dependable Software Systems
Introduction
Dependability
Nature of Requirements
Categories of Requirements
Handling Requirements
Requirements Quality Attributes
Requirements and Dependability
Common Requirements Challenges
Summary
References
Mechanics of Managing Software Risk
Introduction
Project Planning
Fundamentals of Risk
Sources of Risk
Handling Risks
Conclusion
References
The PERFECT Approach to Experience-Based Process Evolution
Introduction
Improvement Game Plans
Process Evolution
The PEDAL Framework
Describing Process Evolution Dynamics
Process Evolution Infrastructure
Value and Future Improvements
Summary
Acknowledgements
References
The Opportunities, Challenges, and Risks of High Performance Computing in Computational Science and Engineering
Introduction
Computational Science and Engineering Analysis
General Characteristics of a Large Scale Computational Simulation
FALCON: An Example of a Large-Scale Scientific Code Project
The Challenges Facing Computational Science and Engineering
A Comparative Case Study
Verification and Validation
Software Quality and Software Project Management
Conclusions and Path Forward
Acknowledgements
References
Author Index
Subject Index
Contents of Volumes in This Series