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On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
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It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
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An Accurate FFPA-PSR Estimator Algorithm and Tool for Software Effort Estimation.

Senthil Kumar Murugesan1, Chidhambara Rajan Balasubramanian2

  • 1Department of Computer Science and Engineering, Valliammai Engineering College, Kattankulathur, Tamil Nadu 603203, India.

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Summary
This summary is machine-generated.

This study introduces a hybrid software effort estimation tool that integrates quality, reliability, and security factors. The novel approach enhances estimation accuracy and product dependability.

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Area of Science:

  • Software Engineering
  • Computer Science

Background:

  • Software companies prioritize secure, accurate, and reliable products, particularly in software effort estimation.
  • Existing estimation models often lack comprehensive integration of quality, reliability, and security metrics.

Purpose of the Study:

  • To propose a hybrid estimator algorithm and model for software effort estimation.
  • To incorporate quality metrics, reliability, and security factors into fuzzy-based function point analysis.

Main Methods:

  • Utilizing a fuzzy-based estimate with a triangular fuzzy set to manage software size uncertainty early in development.
  • Extending function point analysis to include security and reliability factors in calculations.
  • Integrating performance metrics with effort estimation to improve accuracy.

Main Results:

  • The hybrid tool was experimented with various project datasets.
  • Results were compared against existing software effort estimation models.
  • The proposed method demonstrated improved accuracy, reliability, and security.

Conclusions:

  • The developed hybrid estimator offers a more accurate and dependable approach to software effort estimation.
  • Integrating quality, reliability, and security factors enhances overall product assurance.
  • The fuzzy-based function point analysis effectively handles early-stage development uncertainties.