A hybrid metaheuristic aware enhanced deep learning approach for software effort estimation

HIGHLIGHTS

• What: To overcome these drawbacks this study proposes learning model to effectively estimate software effort. In this study, the classification performance is examined using both and_[-1, 1] scales.
• Who: gerry from the GITAM Deemed to be University, Vishakhapatnam, India have published the article: A Hybrid Metaheuristic Aware Enhanced Deep Learning Approach for Software Effort Estimation, in the Journal: (JOURNAL)
• How: The data taken from the dataset is given to the preprocessor to perform data standardization and normalization . The population-based JAYA algorithm was developed to compare the best and worst solutions for . . .
  

   

  

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