Analyzing the Performance of the Multiple-Searching Genetic Algorithm to Generate Test Cases

Analyzing the Performance of the Multiple-Searching Genetic Algorithm to Generate Test Cases

Software testing using traditional genetic algorithms (GAs) minimizes the required number of test cases and reduces the execution time. Currently, GAs are adapted to enhance performance when finding optimal solutions. The multiple-searching genetic algorithm (MSGA) has improved upon current GAs and...

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Bibliographic Details
Main Authors: Wanida Khamprapai, Cheng-Fa Tsai, Paohsi Wang
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Applied Sciences
Subjects:
software testing
branch coverage
genetic algorithm
multiple-search genetic algorithm
network systems
Online Access:https://www.mdpi.com/2076-3417/10/20/7264

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https://www.mdpi.com/2076-3417/10/20/7264

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