Mathematical Approaches to Software Quality [electronic resource] /
O'Regan, Gerard.author.
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.
Description based upon print version of record.
Includes bibliographical references and index.
Introduction -- Software Engineering Mathematics -- Logic for Software Engineering -- Z Specification Language -- Vienna Development Method -- Irish School of VDM -- Dijkstra and Hoare -- The Parnas Way -- Cleanroom and Software Reliability -- Unified Modeling Language -- Technology Transfer -- Glossary.
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.
Software engineering.
Computer science-Mathematics.
Software Engineering/Programming and Operating Systems.
Software Engineering.
Mathematics of Computing.
Discrete Mathematics in Computer Science.