International Journal of Management, IT and Engineering
  • Year: 2019
  • Volume: 9
  • Issue: 6

A Survey on Use of Search Based Optimization techniques in Software Engineering

  • Author:
  • Sanjiv Sharma, S. A. M. Rizvi, Vineet Sharma
  • Total Page Count: 12
  • Page Number: 460 to 471

*Department of Computer Science and Engineering, KIET Group of Institutions, Ghaziabad, India

**Department of Computer Science, Jamia Millia Islamia, Delhi, India

***Department of Computer Science and Engineering, KIET Group of Institutions, Ghaziabad, India

Online published on 24 October, 2019.

Abstract

In recent years search based optimization techniques in software engineering has been a burgeoning interest among software engineering. The Search Based Optimization Techniques are used to shift problem of software optimization from human based search to machine based search, by using techniques like meta-heuristic search and evolutionary computation. The idea behind this paradigm is to mingle human creativity with computing machine's reliability. This article presents a survey on some good work already done in this field.

Keywords

Search based software engineering, hill climbing, simulated annealing, evolutionary algorithms, testing