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Introduction to Data Flow Testing with Genetic Algorithm

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Rijwan Khan, Mohd Amjad
10.5120/ijca2017914845

Rijwan Khan and Mohd Amjad. Introduction to Data Flow Testing with Genetic Algorithm. International Journal of Computer Applications 170(5):39-45, July 2017. BibTeX

@article{10.5120/ijca2017914845,
	author = {Rijwan Khan and Mohd Amjad},
	title = {Introduction to Data Flow Testing with Genetic Algorithm},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2017},
	volume = {170},
	number = {5},
	month = {Jul},
	year = {2017},
	issn = {0975-8887},
	pages = {39-45},
	numpages = {7},
	url = {http://www.ijcaonline.org/archives/volume170/number5/28069-2017914845},
	doi = {10.5120/ijca2017914845},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Control flow diagrams are a keystone in testing the structure of software programs. With the help of control flow between the various components of the program, we can select the test cases in a particular domain. In this paper, we introduced a window-based tool for generating the CFG of a C Program automatically. The data flow testing, i.e., control flow testing depends on all def-use of the variables. So selecting the test cases for a particular data flow diagram is not an easy task. In this paper genetic algorithm has been used to generate the test cases automatically for data flow testing.

References

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Keywords

Data-Flow Testing, Control-Flow Graph, Genetic Algorithms, Software Testing, Automatic Test Cases.