Linear Prediction Model for Effort in Programming based on User Acceptance and Revised use Case Point Method

As long as most of the processes of verification and validation of software to grant acceptance by the customer/user, are subjective type, it is aimed to design a standard mathematical model with empirical to perform an appointment with areas or stages where development teams most fail involving large-scale software projects. This model will be based on a survey that the user must fill as going testing and validating the software, and which response curve must be linear with respect to the software development process. This paper aims to discuss the aspects surrounding the estimation of mathematical model in the validation and acceptance by a user through the revised Use Case Point Method. First, an assessment of the most recent techniques of application of the method are done, and then a simulation of the process of acceptance and validation by a standard user (Beta Test) will be taken as a practical example. For purposes of this paper, revised use case point method (Re-UCP) must have a specific weight, based on the prerequisites for the development of large-scale software. Once obtained this weighting, the user shall assess the finished product and then an approximation function will be to determine the coefficients of the final model approach, and indicating that is the efficient trend of the development team

@article{Alshammari2017,
  title     = {Linear Prediction Model for Effort in Programming based on User Acceptance and Revised use Case Point Method},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {8},
  number    = {11},
  year      = {2017},
  publisher = {The Science and Information Organization},
  author    = {Fahad H. Alshammari},
  doi       = {10.14569/IJACSA.2017.081112},
  url       = {https://doi.org/10.14569/IJACSA.2017.081112}
}