摘要
目前,软件检测主要分为动态检测和静态检测两种形式。有效的软件检测方式有助于提高软件的检测准确度,促进完善的软件缺陷报告发展。基于此,本文针对软件检测,对软件检测中的静态软件分析进行了讨论,从缺陷检测新方法和缺陷检测的新算法和工具的提出,帮助阐述软件测试及其静态软件检测分析方法。
At present,software detection is mainly divided into two forms:dynamic detection and static detection.Effective software detection methods help improve the accuracy of software detection and promote the development of complete software defect reports.Based on this,this article discusses static software analysis in software testing,and proposes new methods of defect detection and new algorithms and tools for defect detection to help explain software testing and static software detection analysis methods.
作者
徐思婕
Xu Sijie(School of Computer Science and Technology,Harbin Engineering University,Harbin Heilongjiang,150001)
出处
《电子测试》
2021年第8期102-103,88,共3页
Electronic Test
关键词
计算机信息处理技术
大数据
缺陷
对策
computer information processing technology
big data
defects
countermeasures
