No Detail Found!

Agile test automation for web application using testng framework with random integration algorithm in machine learning to predict accuracy and response time on automated test results

Author(s)
V.VAMSI KRISHNA School of Computer Science, Engineering & Applications, Bharathidasan University, Tiruchirappalli, Tamil Nadu, India.
G. GOPINATH School of Computer Science, Engineering & Applications, Bharathidasan University, Tiruchirappalli, Tamil Nadu, India.
Abstract
"Testing" must be a part of any software engineering approach that intends to build high-quality apps. By executing it with input values, testing seeks to find faults in the tested-object and develop confidence in its proper functioning. Web apps take first place in development and testing, according to everyday usage. By automating the entire software development testing process, testing automation saves time and money for developers and testers. Our proposed solution would use the "TestNG framework," an automated testing framework, to test a public website and save the test results in the format of a ".csv" or ".xls" file to a given directory. The Support-Vector-Machine Algorithm (SVM), Random-Forest Algorithm & other machinelearning algorithmshave been used to analyses the output file. The outcomes of all of the different ways will be compared and displayed on a graph. By Automating The Testing Framework Manual Testing Task Will Become Easy.
Publication Details
Page(s) 4909-4917
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 16, Year: 2022

Request the full text from PASTIC

Keywords
SVM, Random forest algorithm, Web Applications, TestNGFramework, Random Integration Algorithm, Test Automation
0

Citations

0

Downloads

107

Views