Cloud-based automatic test data generation framework

作者：

Highlights：

• Proposed the framework for effective cloud-based testing.

• Designed and developed Hadoop MapReduce based automated test data generation strategy using GA and PSO.

• Devised and implemented the new approach for the gbest evaluation using Pareto-optimality.

• Empirical evaluation of the proposed framework.

• Comparison with the other existing soft-computing based cloud testing models.

摘要

•Proposed the framework for effective cloud-based testing.•Designed and developed Hadoop MapReduce based automated test data generation strategy using GA and PSO.•Devised and implemented the new approach for the gbest evaluation using Pareto-optimality.•Empirical evaluation of the proposed framework.•Comparison with the other existing soft-computing based cloud testing models.

论文关键词：Software testing,Cloud computing,MapReduce,Soft computing,Particle swarm optimization,Genetic algorithm,Pareto-optimal,Cloud-based testing

论文评审过程：Received 9 March 2015, Revised 27 August 2015, Accepted 5 December 2015, Available online 12 January 2016, Version of Record 1 April 2016.

论文官网地址：https://doi.org/10.1016/j.jcss.2015.12.001