Engineering is often described as the application of scientific and technical knowledge to solve problems. In this thesis, I support a more general view that engineering should be treated as a continuous process of learning and action that aims to make well understood improvements within dynamically complex environments of co-evolving social, man-made and natural systems. I argue that this can only be achieved by adopting an approach that systematically develops, manages and integrates the knowledge and expertise of many disciplines to conceive, develop, modify, operate and retire systems. A novel implementation of such an approach, called Aspect-Oriented Thinking, is presented.
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Aspect-Oriented Thinking begins with the development and verification of a set of domain Models. Each Domain Model represents knowledge about a separate, autonomous and possibly discipline specific concern or view within a given context. Domain models are developed by engineers, scientists, sociologists, psychologists, lawyers, philosophers, economists and others, using languages and techniques with which they are familiar. Knowledge captured in a set of Domain Models is then woven together, in accordance with a set of separately developed patterns and rules, to construct, modify, operate and retire systems, including models, hardware, software, processes and simulations. This is a continuous process which, in the first instance, involves those systems used to learn about a given context and to make decisions regarding required changes. Later, the process involves those systems used to implement and evaluate the impact of these decisions.
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The significance of Aspect-Oriented Thinking lies in its broad applicability to any situation in which the expertise and knowledge of diverse disciplines is required to understand and make improvements within complex multifaceted
environments such as those that involve sustainable development and national security.
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A proof-of-concept within the context of software engineering is provided to demonstrate the mechanics and viability of Aspect-Oriented Thinking. The results
of this demonstration are used to support an argument for future experimentation
aimed at evaluating the effectiveness of Aspect-Oriented Thinking in a more
general interdisciplinary environment.
| Identifer | oai:union.ndltd.org:ADTP/216882 |
| Date | January 2006 |
| Creators | Flint, Shayne, shayne.flint@anu.edu.au |
| Publisher | The Australian National University. Faculty of Engineering and Information Technology |
| Source Sets | Australiasian Digital Theses Program |
| Language | English |
| Detected Language | English |
| Rights | http://www.anu.edu.au/legal/copyrit.html), Copyright Shayne Flint |
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