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Review of Computer Engineering Research

March 2019, Volume 6, 1, pp 45-56

An Examination of the Methods of Increasing Software Efficiency Based on Soft Computing Technology

Shafagat Mahmudova

Shafagat Mahmudova 1

  1. SE Department, Institute of Information Technology of ANAS, Baku, Azerbaijan. 1

on Google Scholar
on PubMed

Pages: 45-56

DOI: 10.18488/journal.76.2019.61.45.56

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Article History:

Received: 12 February, 2019
Revised: 15 March, 2019
Accepted: 23 April, 2019
Published: 03 June, 2019


This paper examines the methods of increasing software efficiency based on soft computing technology by analyzing the benefits and challenges of the components used in software development. The functions and features of machine learning, comprising neural networks, perceptron, support vector machines, and fuzzy logic are highlighted and explained, along with those of evolutionary computation (e.g., evolutionary and genetic algorithms) and probability. Recommendations are presented in conclusion.
Contribution/ Originality
This paper is one of only a few to investigate and analyze the problems of soft computing technologies. By reviewing the utilization of new estimation methodologies, it contributes to the existing literature and comparative analyses.


Soft computing, Software efficiency, Software development, Programming technology, Soft computing components.




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This study received no specific financial support.

Competing Interests:

The authors declare that they have no competing interests.


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