基于智能优化算法的软件测试数据生成模型及其应用研究  

Model of Software Test Data Generation Based on Intelligent Optimization Algorithm

作　　者：周学花 Zhou Xuehua(School of Computer Science and Engineering,North China Institute of Aerospace Engineering,Langfang 065000,China)

机构地区：[1]北华航天工业学院计算机学院,河北廊坊065000

出　　处：《北华航天工业学院学报》2023年第3期10-12,共3页Journal of North China Institute of Aerospace Engineering

基　　金：廊坊市科学技术研究与发展计划自筹经费项目(2021011001)。

摘　　要：本文首先总结了基于智能优化算法生成软件测试数据的研究现状。然后提出了一种通用的基于智能优化算法的软件测试数据生成模型,并将该模型应用在了基于遗传算法的测试数据生成上。实验表明,该模型具有很强的实用性,能够提高软件测试的覆盖率,奠定了软件测试数据生成的理论基础。最后总结全文并对未来的研究方向做出展望。This paper first summarizes the research status of software test data generation based on intelligent optimization algorithm.Then,it proposes a general software test data generation model based on this algorithm,and this model is applied to the test data generation based on genetic algorithm.Experiments show that this model has strong practicability,it can improve the coverage of software testing,which lays a theoretical foundation for the generation of software testing data.Finally,it discusses prospects for future research direction.

关 键 词：智能优化 软件测试 测试数据生成 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]