Abstract
Software testing ensures that the developed software is error free and reliable for customer use. For verification and validation of software products, testing has been applied to these products in various software industries. So, before the delivery of the software to the customer, all the types of testing have been applied. In this paper, automatic test cases have been developed with the help of a genetic algorithm for data flow testing and these tests are divided into different groups using Euclidean distance. Elements of each group are applied to the data flow diagram of the program/software and all the du-paths are found, covering the given test suits. New test suits are generated with the help of the genetic algorithm to cover all du-paths.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Intelligence Paradigms
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
