智能优化在软件测试的应用
作者:
作者单位:

1.中国矿业大学;2.山东建筑大学;3.徐州工程学院

作者简介:

通讯作者:

中图分类号:

TP273

基金项目:

国家重点研发计划项目,国家自然科学基金项目(面上项目,重点项目,重大项目)


Application of intelligent optimization in software testing
Author:
Affiliation:

1.China University of Mining and Technology;2.Shandong Jianzhu University;3.Xuzhou University of Technology

Fund Project:

National Key Research and Development Program of China,The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)

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    摘要:

    软件测试是软件开发活动中一个关键且耗时的环节,其核心是生成满足特定准则的测试数据.随着软件复杂程度的不断增加,软件测试的难度也越来越高.使用遗传算法等智能优化方法解决复杂软件的测试问题,是近年来软件工程领域的一个研究热点.本文主要针对智能优化在软件测试的应用进行综述.首先,介绍了软件测试的基本原理和方法.然后,介绍了智能优化在不同测试领域的研究进展.接着,对基于不同智能优化方法的软件测试研究进展进行了分析.最后,给出该领域的挑战与展望.

    Abstract:

    Software testing is a critical and time-consuming process during software development, whose key is to generate test data that meet specific criteria. With the increasing complexity of software, software testing is becoming more and more difficult. Recent years, it is a hot topic in software engineering using intelligent optimization, such as genetic algorithms, to test complex software. This paper mainly summarizes the application of intelligent optimization in software testing. Firstly, the basic principles and methods of software testing are introduced. Then, the research progress of intelligent optimization in different testing fields is introduced. Next, the research progress of software testing based on different intelligent optimization methods is analyzed. Finally, the challenges and prospects in this field are given.

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历史
  • 收稿日期:2021-08-04
  • 最后修改日期:2021-11-17
  • 录用日期:2021-10-27
  • 在线发布日期: 2021-11-01
  • 出版日期: