A Model-Based Approach for Robustness Test Generation

T. Yano, E. Martins, F. L. de Sousa
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引用次数: 1

Abstract

Since Critical Infrastructures (CI) strongly rely on network services, robustness testing is a key step to assure the resilience of such systems in the presence of abnormal situations. This work proposes a dynamic robustness test cases generation from state models, using an executable version of the model. A meta-heuristics search based algorithm is used to generate test cases taking into account the control and data aspects of the model.
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基于模型的鲁棒性测试生成方法
由于关键基础设施(CI)强烈依赖于网络服务,因此鲁棒性测试是确保此类系统在异常情况下具有弹性的关键步骤。这项工作提出了一个从状态模型生成的动态健壮性测试用例,使用模型的可执行版本。考虑到模型的控制和数据方面,使用基于元启发式搜索的算法来生成测试用例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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