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Software prioritization is the act of ranking requirements with respect to their perceived relative importance in order to plan for software releases. This is a crucial task in software development because requirements could be ambiguous or over proportioned if appropriate techniques are not utilized in analyzing and prioritizing them. Consequently, to curb the possibility of delivering poor quality systems developed from vague requirements, a fuzzy-TOPSIS based model that is capable of comparing sets of elicited requirements is presented. To achieve the research aim, normalized fuzzy weights are computed for each criterion that makes up a requirement and a confidence function is determined to ascertain the prioritized requirements. An empirical case scenario is described to illustrate the adaptability processes of the proposed approach.
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