An Evolutionary Generation Method of Test Data for Multiple Paths Based on Coverage Balance

Test data generation is one of the main tasks of software testing. The goal of test data generation based on search algorithms is to automate the task and find test data that meet test criteria. In this study, an evolutionary generation method for test data that cover multiple paths is proposed. Fir...

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Bibliographic Details
Main Authors: Shuping Fan, Nianmin Yao, Li Wan, Baoying Ma, Yan Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9454387/