@article{825,
  author = {M. Kia},
  title = {Object Oriented Software Effort Estimate with Neuro Fuzzy Use Case Size Point (NFUSP) Based on Exact Weights},
  journal = {Progress in Computing Applications},
  year = {2012},
  volume = {1},
  number = {1},
  doi = {},
  url = {http://www.dline.info/pca/fulltext/v1n1/3.pdf},
  abstract = {Use case size point (USP) method has been proposed to estimate object oriented software development effort in early phase of software project and used in a lot of software organizations. Intuitively, USP is measured by counting the number of actors, preconditions, postconditions, scenarios included in use case models.This paper describes the idea to automatically classify the weight of this factors from use case model. Even though several estimation procedures are available the Neural Network and fuzzy models presents advantages over normal estimation procedure. In this paper we develop a fuzzy Neural Network model to estimate the effort of object oriented software using Use Case size Point approach. In our proposed system fuzzy neural network use case size point has less error and system worked more accurate and appropriative than prior methods.},
}