Abhishek Singhal, Swati Chandna and Abhay Bansal (2012) A NOVEL APPROACH FOR PRIORTIZATION OF OPTIMIZED TEST CASES

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A NOVEL APPROACH FOR PRIORTIZATION OF OPTIMIZED TEST CASES

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CONTRIBUTORS:

	Author:	Abhishek Singhal
	Author:	Swati Chandna
	Author:	Abhay Bansal

JOURNAL:

International Journal on Computer Science and Engineering (IJCSE), 4(5), 795 - 802.

YEAR:

2012

PUB TYPE:

Journal Article

SUBJECT(S):

Software Testing, Test Case Generation, Fitness Function, Genetic Algorithm, Optimization, Prioritization

DISCIPLINE:

Engineering and Applied Sciences

HTTP:

http://www.enggjournals.com/ijcse/doc/IJCSE12-04-05-239.pdf

LANGUAGE:

English

PUB ID:

103-502-847 (Last edited on 2012/05/16 22:37:05 GMT-6)

SPONSOR(S):

ABSTRACT:
Generation and prioritization of test cases is one of the major issue in software testing.Maximum number of faults are identified through test cases only. Clients confidence can be gained through software testing. This paper firstly generates test cases using decision coverage metrics which gave redundant set of set cases. So, in in order to generate optimized set of test cases, genetic algorithm is used so that we can generate maximum number of faults with the minimum number of test cases. After generating the optimized set of test cases we proposed a technique to prioritize those test cases to indicate the order with which test case may be addressed which is known as prioritization of test cases using proposed algorithm which gave results in less time by consuming less resources.

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