Genetic-RTA: A Test Suite Automation for Concurrent Software Systems
Author(s):
S. Farhana
Keywords:
Regression testing, genetic algorithm, Genetic-RTA (Regression Test suite Automation).
Abstract
It gets more difficult to evaluate the functionality of a software application as it grows because of addition of features, performance improvements, and quality enhancement, among other things. In testing, writing test cases and manually assessing those test cases by analysing the software application under test will cost a lot. Mostly, symbolic execution and genetic algorithms are often used to generate test cases. However, whatever test cases are made, are added to the original test suite, which may comprise a significant number of test cases, and used to use all those test cases in a sequential bid to achieve the coverage of targets in the program under test, which may cause a slight time delay. Moreover, if any further versions of that program version are patched in the future, and employ that newly produced test suite to compute on it, it may require a great deal of testing time and computational resources. By considering this problem, the paper proposed Genetic-RTA, to perform the good testing on the current program version as well as its upcoming modified versions in the future, it not only generates the new test cases but also collects the fittest test cases from it based on maximum coverage and minimum time consumption, from this, it forms the test suite that contains the ordered test case sequence as well.
Article Details
Unique Paper ID: 154326

Publication Volume & Issue: Volume 8, Issue 10

Page(s): 533 - 539
Article Preview & Download


Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews