Automatic Test Data Generation for Data Flow Testing Using a Genetic Algorithm
Published in Zenodo (CERN European Organization for Nuclear Research) • Apr 7, 2020
NobleIDNI0P49W76R87S63
Authors:
Moheb R. Girgis
Abstract
One of the major difficulties in software testing is the automatic generation of test data that satisfy a given adequacy criterion. This paper presents an automatic test data generation technique that uses a genetic algorithm (GA), which is guided by the data flow dependencies in the program, to sea...
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