User Session-Based Test Case Generation and Optimization Using Genetic Algorithm

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ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.org/journal/jsea
E-mail: jsea@scirp.org

"User Session-Based Test Case Generation and Optimization Using Genetic Algorithm"
written by Zhongsheng Qian,
published by Journal of Software Engineering and Applications, Vol.3 No.6, 2010

has been cited by the following article(s):

[1]	AVISAR-a three tier architectural framework for the testing of Object Oriented Programs
	2016

[2]	Functional stratification of biomarkers selected from microarray data for understanding oral leukoplakia associated carcinogenesis
	2016

[3]	User Session Based Test Case Generation for Website: A
	International Journal of Scientific and Research Publications, 2015

[4]	A comparative study of Genetic Algorithms for its applications in Object oriented testing
	2014

[5]	A Classification Framework for Automatic Test Case Generation Techniques for web applications
	Journal of Information Processing and Management, 2013

[6]	Web Application Regression Testing: A Comparative Evaluation of User Session and Slicing Based Approaches
	Global Journal on Technology, 2013

[7]	A Classification Framework for Automatic Test Case Generation Techniques for web applications.
	2013

[1]	Functional stratification of biomarkers selected from microarray data for understanding oral leukoplakia associated carcinogenesis 2016 International Conference on Systems in Medicine and Biology (ICSMB), 2016 DOI:10.1109/ICSMB.2016.7915096

[2]	AVISAR - a three tier architectural framework for the testing of Object Oriented Programs 2016 Second International Innovative Applications of Computational Intelligence on Power, Energy and Controls with their Impact on Humanity (CIPECH), 2016 DOI:10.1109/CIPECH.2016.7918730

[3]	A comparative study of Genetic Algorithms for its applications in Object oriented testing 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014 DOI:10.1109/ICICICT.2014.6781342

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