An Adaptive Fuzzy Decision Matrix Model for Software Requirements Prioritization

Abstract

Software elicitation process is the act of extracting and sorting requirements of a proposed system perceived to reflect the projected performance of the software under consideration for development. For software systems to be long-lived and satisfy stakeholder’s expectations; there will be need to prioritize choices at the elicitation level. However, these choices could be distorted or misleading if appropriate techniques are not utilized in analyzing and prioritizing them. Consequently, if software systems are developed on vague prioritization results, the end product will not meet stakeholder’s expectations. In this research, we present a scalable innovative prioritization model that is capable of comparing sets of elicited requirements by computing the weights of each criterion that makes up specified requirements. To achieve our aim, the weights assigned to each requirement by relevant stakeholders are normalized and a confidence function is computed to ascertain the ranking order of requirements. To validate the applicability of our model, we describe an empirical case scenario detailing the adaptability prowess of the proposed model.