Predicting software effort from use case points: A systematic review

Context: Predicting software project effort from Use Case Points (UCP) method is increasingly used among researchers and practitioners. However, unlike other estimation domains, this area of interest has not been systematically reviewed. Aims: There a need for systemic literature review to provide directions supports research estimation. Specifically, the objective study twofold: 1) classify UCP papers based on four criteria: contribution type, approach, dataset type techniques with UCP; 2) analyze these paper different views: accuracy, favorable context impact combined accuracy UCP. Method: We systematic methodology proposed by Kitchenham Charters. This includes searching most relevant papers, selecting quality extracting data drawing results. Result: The authors paper, are generally aware previous published results conclusions in field lack related publications top engineering journals. makes conclusion that such useful community. Furthermore, articles small numbers projects which cannot support generalizing cases. Conclusions: multiple have examined so far as validating algebraic construction industrial data. Also, there standard automated tools govern process translating use case diagram into its corresponding metrics. Although an increase collect build prediction models machine learning methods, still subject debate.