Aspect-orientation is not limited to programming since it is useful to identify, analyse, trace and modularise concerns (e.g., PREview) through requirements elicitation, specification and design. Aspects can be multi-dimensional by allowing both functional and non-functional behaviour to cross cut any other concerns, instead of just mapping non-functional concerns to functional requirements.
One view of aspect-oriented programming (AOP) is that every major feature of the program, core concern (business logic), or cross-cutting concern (additional features), is an aspect, and by weaving them together (also called composition), you finally produce a whole out of the separate aspects. This approach is known as pure aspect programming, but hybrid approaches are more commonly used, perhaps since there is less of a paradigm shift between object- and aspect-oriented programming. There is a similar situation with early aspect software development (e.g., requirements), with traditional methods being enhanced for aspect-orientation and new models proposed. Non-functional concerns (e.g., security) can crosscut functional concerns (e.g., door must be present). It is possible for functional concerns to crosscut non-functional or functional concerns (e.g., need for more features harms mobility). A uniform approach to representation and composition, similar to the pure approach in AOP, is termed multidimensional representation.
The prism analogy describes aspects with terms from the domain of light. Like splitting light into its many aspects (different colours) with a prism, you split a problem into its separate aspects. With another prism you can put the different colours back into a white ray of light, and by the process of weaving aspects you can put your solutions for the different aspects of a problem back into a solution for the whole problem.