Ebook: Mathematical Approaches to Software Quality
Author: Gerard O'Regan Ph.D. (auth.)
- Tags: Software Engineering, Mathematics of Computing, Discrete Mathematics in Computer Science
- Year: 2006
- Publisher: Springer-Verlag London
- Edition: 1
- Language: English
- pdf
The now customary expectation for high-quality software products places an immense demand on industries and organizations to fulfill this need and to consistently produce quality software.
Mathematical Approaches to Software Quality provides a comprehensive introduction to various mathematical methodologies needed for developing this high-quality software. The book explains the main features of these approaches and applies these mathematical methods to solve practical problems. For instance the chapter on technology transfer presents an overview of how these technologies may be transferred to industry.
Topics and features include:
• Expansive overview of popular formal specification methods such as Z and VDM
• Introduction to Cleanroom and software reliability
• Understanding on how to predict reliability of a software product using Cleanroom
• Broad discussion of ideas of Parnas, Hare and Dijkstra on software quality
• Introduction to UML
• Technology transfer of formal methods
This book considers the potential and limitations of the various mathematical approaches and thereby aims to give a balanced view of the usability of each mathematical approach. Written with both student and professional in mind, this book assists the reader in applying mathematical methods to solve practical problems that are relevant to software engineers. It is suitable for coursework or self-study and there is helpful material on tools to support the various mathematical approaches.
A companion volume entitled A Practical Approach to Software Quality, also written by Gerard O’Regan, offers a comprehensive introduction to the field and pragmatic guidance on the implementation of a sound quality system in the organization.
The now customary expectation for high-quality software products places an immense demand on industries and organizations to fulfill this need and to consistently produce quality software.
Mathematical Approaches to Software Quality provides a comprehensive introduction to various mathematical methodologies needed for developing this high-quality software. The book explains the main features of these approaches and applies these mathematical methods to solve practical problems. For instance the chapter on technology transfer presents an overview of how these technologies may be transferred to industry.
Topics and features include:
• Expansive overview of popular formal specification methods such as Z and VDM
• Introduction to Cleanroom and software reliability
• Understanding on how to predict reliability of a software product using Cleanroom
• Broad discussion of ideas of Parnas, Hare and Dijkstra on software quality
• Introduction to UML
• Technology transfer of formal methods
This book considers the potential and limitations of the various mathematical approaches and thereby aims to give a balanced view of the usability of each mathematical approach. Written with both student and professional in mind, this book assists the reader in applying mathematical methods to solve practical problems that are relevant to software engineers. It is suitable for coursework or self-study and there is helpful material on tools to support the various mathematical approaches.
A companion volume entitled A Practical Approach to Software Quality, also written by Gerard O’Regan, offers a comprehensive introduction to the field and pragmatic guidance on the implementation of a sound quality system in the organization.
The now customary expectation for high-quality software products places an immense demand on industries and organizations to fulfill this need and to consistently produce quality software.
Mathematical Approaches to Software Quality provides a comprehensive introduction to various mathematical methodologies needed for developing this high-quality software. The book explains the main features of these approaches and applies these mathematical methods to solve practical problems. For instance the chapter on technology transfer presents an overview of how these technologies may be transferred to industry.
Topics and features include:
• Expansive overview of popular formal specification methods such as Z and VDM
• Introduction to Cleanroom and software reliability
• Understanding on how to predict reliability of a software product using Cleanroom
• Broad discussion of ideas of Parnas, Hare and Dijkstra on software quality
• Introduction to UML
• Technology transfer of formal methods
This book considers the potential and limitations of the various mathematical approaches and thereby aims to give a balanced view of the usability of each mathematical approach. Written with both student and professional in mind, this book assists the reader in applying mathematical methods to solve practical problems that are relevant to software engineers. It is suitable for coursework or self-study and there is helpful material on tools to support the various mathematical approaches.
A companion volume entitled A Practical Approach to Software Quality, also written by Gerard O’Regan, offers a comprehensive introduction to the field and pragmatic guidance on the implementation of a sound quality system in the organization.
Content:
Front Matter....Pages i-xv
Introduction....Pages 1-32
Software Engineering Mathematics....Pages 33-52
Logic for Software Engineering....Pages 53-74
Z Specification Language....Pages 75-91
Vienna Development Method....Pages 92-108
Irish School of VDM....Pages 109-125
Dijkstra and Hoare....Pages 126-142
The Parnas Way....Pages 143-175
Cleanroom and Software Reliability....Pages 176-196
Unified Modeling Language....Pages 197-210
Technology Transfer....Pages 211-219
Back Matter....Pages 220-231
The now customary expectation for high-quality software products places an immense demand on industries and organizations to fulfill this need and to consistently produce quality software.
Mathematical Approaches to Software Quality provides a comprehensive introduction to various mathematical methodologies needed for developing this high-quality software. The book explains the main features of these approaches and applies these mathematical methods to solve practical problems. For instance the chapter on technology transfer presents an overview of how these technologies may be transferred to industry.
Topics and features include:
• Expansive overview of popular formal specification methods such as Z and VDM
• Introduction to Cleanroom and software reliability
• Understanding on how to predict reliability of a software product using Cleanroom
• Broad discussion of ideas of Parnas, Hare and Dijkstra on software quality
• Introduction to UML
• Technology transfer of formal methods
This book considers the potential and limitations of the various mathematical approaches and thereby aims to give a balanced view of the usability of each mathematical approach. Written with both student and professional in mind, this book assists the reader in applying mathematical methods to solve practical problems that are relevant to software engineers. It is suitable for coursework or self-study and there is helpful material on tools to support the various mathematical approaches.
A companion volume entitled A Practical Approach to Software Quality, also written by Gerard O’Regan, offers a comprehensive introduction to the field and pragmatic guidance on the implementation of a sound quality system in the organization.
Content:
Front Matter....Pages i-xv
Introduction....Pages 1-32
Software Engineering Mathematics....Pages 33-52
Logic for Software Engineering....Pages 53-74
Z Specification Language....Pages 75-91
Vienna Development Method....Pages 92-108
Irish School of VDM....Pages 109-125
Dijkstra and Hoare....Pages 126-142
The Parnas Way....Pages 143-175
Cleanroom and Software Reliability....Pages 176-196
Unified Modeling Language....Pages 197-210
Technology Transfer....Pages 211-219
Back Matter....Pages 220-231
....