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Functional stratification of biomarkers selected from microarray data for understanding oral leukoplakia associated carcinogenesis

机译:从微阵列数据中选择的生物标志物的功能分层,以了解口腔白斑相关的致癌作用

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In this research paper, we have proposed a three tier conceptual framework AVISAR for the testing of Object Oriented Programs. We have devised the proposed framework into three levels: Requirements Modeling, Test Case Generation and Effort Estimation. At the first level, we have used the Extend relationship of the Use Case to capture the events generated by the Classes during message passing between them through their objects. These events were captured by an Object Instantiator using Event Templates and further given to a Test case scenario generator, which generates the test cases. At the second level, the test cases will be generated based on the event templates that are used for capturing the events generated by the Extend relationship of the Use cases. Further, we have proposed a Genetic Algorithm (GA) for the effective test case prioritization to ensure maximum code coverage. At the third level, effort estimation, we have used the Cyclometric Complexity and Token count to perform the effort estimation for the Software under Test (SUT).
机译:在这篇研究论文中,我们提出了一个三层概念框架AVISAR,用于测试面向对象程序。我们将提议的框架分为三个级别:需求建模,测试用例生成和工作量估计。在第一级,我们使用了用例的扩展关系来捕获类之间通过对象之间的消息传递期间由类生成的事件。这些事件由对象实例化器使用事件模板捕获,然后进一步提供给测试用例场景生成器,生成器生成测试用例。在第二级,将基于事件模板生成测试用例,这些事件模板用于捕获由用例的扩展关系生成的事件。此外,我们为有效的测试用例优先级提出了遗传算法(GA),以确保最大的代码覆盖率。在第三级(工作量估算)中,我们使用了循环复杂性和令牌计数对被测软件(SUT)进行工作量估算。

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