Factors on Software Effort Estimation
نویسندگان
چکیده
Software effort estimation is an important process of system development life cycle, as it may affect the success of software projects if project designers estimate the projects inaccurately. In the past of few decades, various effort prediction models have been proposed by academicians and practitioners. Traditional estimation techniques include Lines of Codes (LOC), Function Point Analysis (FPA) method and Mark II Function Points (Mark II FP) which have proven unsatisfactory for predicting effort of all types of software. In this study, the author proposed a regression model to predict the effort required to design small and medium scale application software. To develop such a model, the author used 60 completed software projects developed by a software company in Macau. From the projects, the author extracted factors and applied them to a regression model. A prediction of software effort with accuracy of MMRE = 8% was constructed.
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