Towards a functional requirements prioritization with early mutation testing

Abstract

Researchers have proposed a number of prioritization techniques to help decision makers select an optimal combination of (non-) functional requirements to implement. However, most of them are defined based on an ordinal or nominal scale, which are not reliable because they are limited to simple operations of ranked or ordered requirements. We argue that the importance of certain requirements could be determined by their criticality level, which can be assessed using a ratio scale. The main contribution of the paper is the new strategy proposed for prioritizing functional requirements, using early mutation testing and dependency analysis