Sample selection
Peng Shao · 2008
In this paper, we illustrate sample selection as an effective technique for surveying customers in order to prioritize requirements. This technique allows customers to rank a relatively small set of items then combines these rankings over a large number of customers to determine an ordering for a large requirements set. The algorithm selects a subset of items to present to the next participant based on previous responses, the size of the requirements set, and the number of customers. By giving each item a fair opportunity, a complete ordering of the requirements set is possible. We utilize a simulation to verify the technique and to determine if the results meet the objectives.