  Testing provides means pertaining to assuring software performance. The total
aim of software industry is actually to make a certain start associated with
high quality software for the end user. However, associated with software
testing has quite a few underlying concerns, which are very important and need
to pay attention on these issues. These issues are effectively generating,
prioritization of test cases, etc. These issues can be overcome by paying
attention and focus. Solitary of the greatest Problems in the software testing
area is usually how to acquire a great proper set associated with cases to
confirm software. Some other strategies and also methodologies are proposed
pertaining to shipping care of most of these issues. Genetic Algorithm (GA)
belongs to evolutionary algorithms. Evolutionary algorithms have a significant
role in the automatic test generation and many researchers are focusing on it.
In this study explored software testing related issues by using the GA
approach. In addition to right after applying some analysis, better solution
produced, that is feasible and reliable. The particular research presents the
implementation of GAs because of its generation of optimized test cases. Along
these lines, this paper gives proficient system for the optimization of test
case generation using genetic algorithm.
