International Journal of Engineering, Science and Mathematics

  • Year: 2017
  • Volume: 6
  • Issue: 8

Role of soft computing in software engineering

  • Author:
  • Pooja Rana1, Rajender Singh2
  • Total Page Count: 6
  • DOI:
  • Page Number: 148 to 153

1Research Scholar, Department of Computer Science and Computer Applications, Maharshi Dyanand University, Rohtak

2Professor, Department of Computer Science and Computer Applications, Maharshi Dayanand University, Rohtak

Online published on 19 April, 2019.

Abstract

Genetic Algorithm (GA) is an evolutionary computing approach which is recurrently used in different areas of Computer Science i.e software testing, software metrics, software complexity, Management with functional areas like finance, marketing, production, planning, Physics, and Engineering etc..[1]. GA is one of the dominant research areas. In this paper the concept of GA and applications of GA in different areas are demonstrated. The study reveal that genetic algorithm is effectively used to solve the different research areas of software engineering like software testing and software metrics etc..

Keywords

Software Testing, software metrics, Genetic Algorithm, Chromosome, fitness function