@article{824,
  author = {Mohammad Saber Iraji, Majid Aboutalebi, Homayun Motameni},
  title = {Effort Estimate with Neuro Fuzzy Use Case Point Based on Exact Weights},
  journal = {Progress in Computing Applications},
  year = {2012},
  volume = {1},
  number = {1},
  doi = {},
  url = {http://www.dline.info/pca/fulltext/v1n1/2.pdf},
  abstract = {Use case point (UCP) method has been proposed to estimate software development effort in early phase of software project and used in a lot of software organizations. Intuitively, UCP is measured by counting the number of actors and transactions included in use case models . This paper describes the idea to automatically classify the complexity of use cases 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 software using Use Case Point approach based on calibrate weights after learning from software projects data . In our proposed system fuzzy neural network use case point has less error and system worked more accurate and appropriative than prior methods.},
}