软件测试最新技术综述  

Review of latest technologies for software testing

作　　者：程涛 CHENG Tao(Guizhou Vocational Technical College of Electronic Information,Kaili 556000,China)

机构地区：[1]贵州电子信息职业技术学院,凯里556000

出　　处：《电子测试》2023年第5期29-32,共4页Electronic Test

基　　金：第二批国家级职业教育教师教学创新团队课题研究项目(ZI2021120101)资助。

摘　　要：随着现代软件应用的复杂性和规模日益增加,软件测试成为确保软件质量的关键一环。对软件测试领域的最新技术进行了综述,其中包括基于人工智能的测试和区块链测试等。研究相关文献和实际案例,探讨这些技术在提升软件测试效率和质量方面的优点和挑战。讨论基于人工智能的测试在软件测试中的各种应用方式。使用机器学习算法自动生成测试用例,预测测试结果,识别潜在的软件缺陷。最后,评估了人工智能在提高测试效率和准确性方面的表现,以及面临的挑战。With the increasing complexity and scale of modern software applications,software testing becomes a key link in ensuring software quality.The goal of this paper is to provide an overview of the latest technologies in the field of software testing,which includes AI-based testing and blockchain testing.Based on in-depth research on relevant literature and practical cases,we will explore the advantages and challenges of these technologies in improving the efficiency and quality of software testing.For AI-based testing,we will discuss in detail the various ways it is applied in software testing.For example,machine learning algorithms are used to automatically generate test cases,predict test results,and identify potential software flaws.In addition,we will evaluate the performance of AI in improving test efficiency and accuracy,as well as the challenges.

关 键 词：软件测试 人工智能 区块链 测试工具 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]