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- W154014781 abstract "Many modeling studies that aimed at providing an accurate relationship between the software project effort (or cost) and the involved cost drivers have been conducted for effective management of software projects. However, the derived models are only applicable for a specific project and its variables. In this chapter, we present the use of back-propagation neural network (NN) to model the software development (SD) effort of 18 SD NASA projects based on six cost drivers. The performance of the NN model was also compared with a multi-regression model and other models available in the literature." @default.
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- W154014781 date "2014-01-01" @default.
- W154014781 modified "2023-09-27" @default.
- W154014781 title "Neural Network and Statistical Modeling of Software Development Effort" @default.
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- W154014781 doi "https://doi.org/10.1007/978-81-322-1602-5_21" @default.
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