2017•Indian Journal of Science and TechnologyOpen access

A Review of Random Test Case Generation using Genetic Algorithm

Deepti Bala Mishra, Saurabh Bilgaiyan, Rajashree Mishra, Arup Abhinna Acharya, Samaresh Mishra

Abstract

Background/Objectives: This research paper presents how Genetic algorithm is efficiently used in random test case generation during functional software testing. Methods/Statistical Analysis: Different hybridized Genetic Algorithms are used to generate test data automatically and optimized those test cases to solve many complex problem related to software testing. Findings: Genetic Algorithms are successfully used in software testing with increasing number of test case generation and provides a means of an automatic test case generator. Applications/Improvements: This study gives us a brief idea to implement Genetic Algorithms in software testing for optimum results and also it can be used with the neural networks and fuzzy systems for different types of testing to improve the performance. Keywords: Black-Box Testing, Fitness Function, Genetic Algorithm (GA), Neural Network, Software Testing, Test case Generation

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Key concepts: Computer science, Genetic algorithm, Software, Algorithm, Artificial neural network, Fitness function, Test case, Data mining