标题 |
![]() DTester:Web应用程序的多样性驱动测试用例生成
相关领域
测试套件
稳健性(进化)
计算机科学
代码覆盖率
一套
Web服务器
测试用例
一般化
机器学习
理论计算机科学
人工智能
数据挖掘
互联网
程序设计语言
软件
万维网
数学
历史
数学分析
生物化学
化学
回归分析
考古
基因
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网址 | |
DOI | |
其它 | Search-based Test Case Generation (TCG) for web applications suffers from unstable performance and suboptimal test suite problems due to diversity loss. However, previous diversity metrics mainly only focus on client-side models or server-side code, which are prone to low robustness and poor generalization in practical applications. We propose a diversity-driven TCG method DTester, which can maximize behavior exploration and minimize the test suite size while covering more server-side vulnerable paths. Three diversity metrics (i.e. phenotypic coupling, intent coupling and competitiveness) are proposed to measure the underlying relationship between test cases from user behavior, code logic and test execution history. Moreover, a 3-dimensional weight graph is designed to model |
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