Mathematical Approaches to Software Quality
Mathematical Approaches to Software Quality by Gerard O’Regan, published by Springer Science & Business Media on February 16, 2006, offers a comprehensive introduction to various mathematical methods aimed at enhancing software quality. This edition spans 231 pages and is presented in English. The book discusses essential mathematical concepts that underpin effective software engineering, alongside a range of mathematical approaches utilized in both academic and industrial contexts.
Readers will find an exploration of several mathematical frameworks, including Z specification language, Vienna Development Methods, and the Cleanroom approach developed at IBM. The text also addresses the application of these methods to practical problems faced by software engineers, making it suitable for both students and professionals. By focusing on the technology transfer of mathematical methods to industry, this book provides valuable insights into quality assurance and testing within software development and engineering.
Official synopsis Publisher
This book provides a comprehensive introduction to various mathematical approaches to achieving high-quality software. An introduction to mathematics that is essential for sound software engineering is provided as well as a discussion of various mathematical methods that are used both in academia and industry.
The mathematical approaches considered include:
- Z specification language
- Vienna Development Methods (VDM)
- Irish school of VDM (VDM)
- approach of Dijkstra and Hoare
- classical engineering approach of Parnas
- Cleanroom approach developed at IBM
- software reliability, and
- unified modelling language (UML).
Additionally, technology transfer of the mathematical methods to industry is considered.
The book explains the main features of these approaches and applies mathematical methods to solve practical problems. 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.
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