Explanations should take around 40 words. Some slack will be given to 50 or 60 word explanations (however, don't press your luck too many times on this); explanations a page or more long will lose five points.
In requirements analysis, prototyping would be used to help the customer explore unresolved or poorly defined issues; rapid prototyping with little concern for prototype longevity would be appropriate. In requirements validation, prototyping would be used to check the SRD to determine its usefulness as a basis for system design; here a more formal and organized approach to prototyping with the potential to carry the prototype on into system design would be appropriate.
The two main conditions on the problem are that it be small, so that the process of gathering and organizing the information can be adequately handled by informal techniques, and that it be familiar to the requirements analyst, so that the differences between the current problem and previous problems can be identified easily with informal techniques.
Your colleague raises a valid point, but an even greater confusion can result from using a design language that is mismatched to the problem feature it's describing. It might be possible to represent a system's state transitions using a decision table, but it's more straightforward and intuitive to use a finite state machine.
Error-counting metrics are important because errors represent expensive disruptions in the software development process. They are meaningful because there is little room for interpretive doubt when an error occurs.
Some people gave change requests as an answer to this question. Change requests are important, because each request represents a potentially expensive set of alterations to the project, and because there's a high correlation between errors and change requests. However, change requests may arise from other sources, such as changes in the environment, so it's a bit harder to ascribe meaning to change requests than it is to ascribe meaning to errors.
Size was a third answer given. Size is important in its own right and as a basis for estimating other important quantities. But it's difficult to get meaningful measures of size early in the project, which makes size a less reliable metric than change request or error counts, at least in the early stages of work.
This page last modified on 14 February 2000.