Managing complexity in software engineering
Author(s)
Bibliographic Information
Managing complexity in software engineering
（IEE Computing series, 17）
P. Peregrinus Ltd. on behalf of the Institution of Electrical Engineers, c1990
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
Software engineering products are becoming ever more complex, because software is being used in the solution of more technically difficult problems and because the size of software projects continues to grow. A key question for software engineers is how to cope with this complexity. There is no single answer, and software engineers must attack the problem from a number of perspectives. A technical perspective reveals new paradigms for system development, including two paradigms that show particular promise: object-oriented design and formal methods. A management perspective recognises that good project management is vital to the success of a complex project. The scale of modern projects makes it essential to use automated support, so software engineers must also look at how to manage complexity from an automation perspective. Automated support can come in the form of discrete tools for particular tasks, or a packaged set of tools in a support environment.
The papers in this book address the problem of managing complexity in software engineering from these different perspectives. The papers are grouped into three sections: Paradigms of software development; Project management; and Automated support. The papers are selected from those presented at the 4th European Seminar on Industrial Software Technology organised by the European Workshop on Industrial Computer Systems (EWICS), whose aim is to promote the effective use of industrial computer systems through education, the dissemination of information and the development of guidelines and standards.
Table of Contents
Part 1: Development paradigms
Chapter 1: Paradigms of modular system development
Chapter 2: The evolution of object-oriented design from concept to method
Chapter 3: The role of formal methods in managing complexity
Chapter 4: Putting mathematics to use
Chapter 5: The theory of organisation: a mathematical treatment of processing structures
Part 2: Project management
Chapter 6: The need for a quality culture for software development
Chapter 7: Quality metrics for software management and engineering
Chapter 8: Measuring to manage
Chapter 9: Structuring routine interactions in software engineering
Part 3: Automated development support
Chapter 10: Methods and tools
Chapter 11: Development support environments
Chapter 12: Structuring for managing complexity
Chapter 13: A method-driven support environment
Chapter 14: Automated support for marrying requirements to programs
Chapter 15: Configuration support for system description, construction and evolution
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