Fuzzy logic as a basic for use case point estimation

Project estimation based on function point or use case point (UCP) methods provide only fixed complexity grades which can not deal with the uncertain and imprecise conditions. This study, therefore, provides a fuzzy size estimation procedure for goal-driven use case model based on UCP using fuzzy theory. We propose a metric to calculate the unadjusted use case points of goal-driven use cases based on the relations between each use cases and goals with the fuzzy membership functions and the fuzzy rules. Furthermore, the technical and environmental factors are considered to calculate the use case points which can be used to estimate the implementation time and effort of the system under development. The proposed approach is illustrated by a benchmark problem domain of a meeting scheduler systems.