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A Multi-threaded Test Automation Framework for Testing Data-centric Applications using Data Processing Algorithms

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International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 114 - Number 7
Year of Publication: 2015
Authors:
Chandra J
Kaushik R
Vishal D Souza
Joy Paulose
10.5120/19991-1662

Chandra J, Kaushik R, Vishal D Souza and Joy Paulose. Article: A Multi-threaded Test Automation Framework for Testing Data-centric Applications using Data Processing Algorithms. International Journal of Computer Applications 114(7):21-25, March 2015. Full text available. BibTeX

@article{key:article,
	author = {Chandra J and Kaushik R and Vishal D Souza and Joy Paulose},
	title = {Article: A Multi-threaded Test Automation Framework for Testing Data-centric Applications using Data Processing Algorithms},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {114},
	number = {7},
	pages = {21-25},
	month = {March},
	note = {Full text available}
}

Abstract

Testing data-centric applications is always a challenging and a time consuming task. The goal of this paper is to present a test automation framework for testing data warehouse and business intelligence applications using an open source test automation tool. An Implementation methodology for multithreaded test execution is be explained that brings down the test execution time significantly. It is a rigorous task to test the applications with high dimensionality of data as the number of test inputs is huge. Over and above it requires a huge amount of time to test the data-centric application as the test cases needs to be executed with various input combinations to bring out the application failures. An effective way for selecting quality test data using boundary value analysis, equivalence portioning and orthogonal array technique is presented in this paper. A methodology for preparing a quality data set for testing using various pre-processing and data mining techniques are experimented. A Strategy data selection and reduction for effective testing is described A mechanism for reducing the test inputs to perform a risk oriented testing is also presented. Overall, a step by step approach for testing high dimensional data-centric web applications compressively, using selenium, weka and R tools is presented.

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