Arvinder Kaur and Shubhra Goyal (2011) A GENETIC ALGORITHM FOR REGRESSION TEST CASE PRIORITIZATION USING CODE COVERAGE

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A GENETIC ALGORITHM FOR REGRESSION TEST CASE PRIORITIZATION USING CODE COVERAGE

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CONTRIBUTORS:

	Author:	Arvinder Kaur
	Author:	Shubhra Goyal

JOURNAL:

International Journal on Computer Science and Engineering (IJCSE), 3(5), 1839 - 1847.

YEAR:

2011

PUB TYPE:

Journal Article

SUBJECT(S):

Genetic Algorithm; Prioritization; Regression Testing; Automation Testing.

DISCIPLINE:

Computer Science

HTTP:

http://www.enggjournals.com/ijcse/doc/IJCSE11-03-05-144.pdf

LANGUAGE:

English

PUB ID:

103-489-157 (Last edited on 2011/06/17 23:28:54 GMT-6)

SPONSOR(S):

ABSTRACT:
Regression testing is a testing technique which is used to validate the modified software. The regression test suite is typically large and needs an intelligent method to choose those test cases which will detect maximum or all faults at the earliest. Many existing prioritization techniques arrange the test cases on the basis of code coverage with respect to older version of the modified software. In this approach, a new Genetic Algorithm to prioritize the regression test suite is introduced that will prioritize test cases on the basis of complete code coverage. The genetic algorithm would also automate the process of test case prioritization. The results representing the effectiveness of algorithms are presented with the help of an Average Percentage of Code Covered (APCC) metric.

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