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Algorithmic Optimisation Method for Improving Use Case Points Estimation.

Radek Silhavy1, Petr Silhavy1, Zdenka Prokopova1

  • 1Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic.

Plos One
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Summary

A new software engineering size estimation method, the Algorithmic Optimisation Method (AOM), improves accuracy by 43% over Use Case Points. AOM uses regression analysis for more reliable project size predictions.

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Area of Science:

  • Software Engineering
  • Project Management
  • Estimation Techniques

Background:

  • Accurate software project size estimation is crucial for effective planning and resource allocation.
  • Existing methods like Use Case Points (UCP) have limitations in precision.
  • The need for improved estimation models in software development is ongoing.

Purpose of the Study:

  • To introduce a novel size estimation method for software engineering projects.
  • To enhance the accuracy of software size estimation by integrating Use Case Points with Multiple Least Square Regression.
  • To validate the performance of the new method against established techniques.

Main Methods:

  • Development of the Algorithmic Optimisation Method (AOM) in three phases.
  • Phase 1: Calculation of Use Case Points and correction coefficients using Multiple Least Square Regression.
  • Phases 2 & 3: Setup of UCP parameters and project estimation using a new equation with two correction coefficients.

Main Results:

  • The Algorithmic Optimisation Method demonstrated a 43% improvement in accuracy compared to the standard Use Case Points method.
  • The magnitude of relative error score was used to quantify the performance difference.
  • Results were validated through visual inspection, goodness of fit measures, and statistical significance.

Conclusions:

  • The Algorithmic Optimisation Method offers a more accurate approach to software project size estimation.
  • The integration of regression analysis with UCP significantly enhances estimation reliability.
  • AOM provides a valuable tool for improving software project planning and management.