Automation of software test data generation using genetic algorithm and reinforcement learning

作者：

Highlights：

• Using reinforcement learning for speeding up the searching process of test cases.

• Designing suitable crossover and mutation operators for the stated problem.

• An additional search step at the end of the genetic iterations for more speed.

摘要

•Using reinforcement learning for speeding up the searching process of test cases.•Designing suitable crossover and mutation operators for the stated problem.•An additional search step at the end of the genetic iterations for more speed.

论文关键词：Software test,Structural test,Test data generation,Genetic algorithms,Reinforcement learning

论文评审过程：Received 9 December 2020, Revised 12 April 2021, Accepted 12 June 2021, Available online 18 June 2021, Version of Record 22 June 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115446