Generating test data for path coverage based testing using genetic algorithms

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dc.contributor.authorPanda, M.
dc.contributor.authorMohapatra, D.P.
dc.date.accessioned2026-02-06T06:39:54Z
dc.date.issued2014
dc.description.abstractIn this paper, we have developed an approach to generate test data for path coverage based testing using genetic algorithm. We have used control flow graph and cyclomatic complexity of the example program to find out the number of feasible paths present in the program and compared it with the actual number of paths covered by genetic algorithm. We have used genetic algorithm for generating test data automatically. We have shown that our algorithm is giving cent percent coverage, successfully covering all feasible paths. In our approach, we have observed that genetic algorithm is much more effective in generating test data within less time period, giving better coverage. © Springer India 2014.
dc.identifier.citationAdvances in Intelligent Systems and Computing, 2014, Vol.216, , p. 367-379
dc.identifier.issn21945357
dc.identifier.urihttps://doi.org/10.1007/978-81-322-1299-7_34
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/32604
dc.publisherSpringer Verlag service@springer.de
dc.subjectConnection matrix
dc.subjectControl flow graph
dc.subjectCyclomatic complexity
dc.subjectFitness function
dc.subjectGenetic algorithm
dc.subjectPath coverage
dc.subjectTest data
dc.titleGenerating test data for path coverage based testing using genetic algorithms

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