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

Authors

  • Shafagat Mahmudova SE Department, Institute of Information Technology of ANAS, Baku, Azerbaijan

DOI:

https://doi.org/10.18488/journal.76.2019.61.45.56

Abstract

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.

Keywords:

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

Abstract Video

Downloads

Crossref
Scopus
1
Google Scholar
Europe PMC
Mishra S. (2022)
PERFORMANCE EVALUATION OF NETWORK INTRUSION DETECTION SYSTEM FOR DETECTING ZERO-DAY ATTACKS: SNORT-XSS ALGORITHM. Review of Computer Engineering Research, 9(2), 109-121.
10.18488/76.v9i2.3082

Published

2019-06-03

How to Cite

Mahmudova, S. . (2019). An Examination of the Methods of Increasing Software Efficiency Based on Soft Computing Technology. Review of Computer Engineering Research, 6(1), 45–56. https://doi.org/10.18488/journal.76.2019.61.45.56

Issue

Vol. 6 No. 1 (2019)

Section

Articles