An approach to generate software test data for a specific path automatically with genetic algorithm

2009 ◽  
Author(s):  
Yang Cao ◽  
Chunhua Hu ◽  
Luming Li
Keyword(s):  
Genetic Algorithm ◽  
Test Data ◽  
Software Test

scholarly journals Generating Test Data for Path Coverage Based on Genetic Algorithm

2020 ◽  
Vol 719 ◽  
pp. 012070
Author(s):  
Shuping Fan ◽  
Baoying Ma ◽  
Nianmin Yao ◽  
Yan Zhang ◽  
Chunyan Xia ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Test Data ◽  
Path Coverage

Test Data Generation and Selection Using Levy Flight-Based Firefly Algorithm

2021 ◽  
Vol 9 (2) ◽  
pp. 18-34
Author(s):  
Abhishek Pandey ◽  
Soumya Banerjee
Keyword(s):  
Test Data ◽  
Firefly Algorithm ◽  
Optimization Problem ◽  
Structural Testing ◽  
Software Test ◽  
Testing Time ◽  
Test Data Generation ◽  
Data Generation ◽  
Test Suite Optimization ◽  
Test Optimization

This article discusses the application of an improved version of the firefly algorithm for the test suite optimization problem. Software test optimization refers to optimizing test data generation and selection for structural testing criteria for white box testing. This will subsequently reduce the two most costly activities performed during testing: time and cost. Recently, various search-based approaches proved very interesting results for the software test optimization problem. Also, due to no free lunch theorem, scientists are continuously searching for more efficient and convergent methods for the optimization problem. In this paper, firefly algorithm is modified in a way that local search ability is improved. Levy flights are incorporated into the firefly algorithm. This modified algorithm is applied to the software test optimization problem. This is the first application of Levy-based firefly algorithm for software test optimization. Results are shown and compared with some existing metaheuristic approaches.

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