A new metric for evaluating the performance and complexity of computer programs: A new approach to the traditional ways of measuring the complexity of algorithms and estimating running times

Rares Folea; Emil-Ioan Slusanschi

doi:10.1109/cscs52396.2021.00033

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arXiv · 2511.00589

A new metric for evaluating the performance and complexity of computer programs: A new approach to the traditional ways of measuring the complexity of algorithms and estimating running times

Rares Folea·Emil-Ioan Slusanschi

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Abstract

This paper presents a refined complexity calculus model: r-Complexity, a new asymptotic notation that offers better complexity feedback for similar programs than the traditional Bachmann-Landau notation, providing subtle insights even for algorithms that are part of the same conventional complexity class. The architecture-dependent metric represents an enhancement that provides better sensitivity with respect to discrete analysis.

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Rares Folea, Emil-Ioan Slusanschi. 2025-11-01. A new metric for evaluating the performance and complexity of computer programs: A new approach to the traditional ways of measuring the complexity of algorithms and estimating running times. https://doi.org/10.1109/cscs52396.2021.00033

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