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Genetic algorithm secure procedures algorithm to manage data integrity of test case prioritization methodology

机译:遗传算法安全规程算法,用于管理测试用例优先级排序方法的数据完整性

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摘要

The focus of present research paper is to manage data integrity and trustworthiness of issues involved in software testing phase of software development life cycle. Many times, it seems that, data integration left behind the software testing phase and it is directly focused at software deployment or delivery time. To avoid issues due to lack of data integration, we developed algorithm which can track integration of test case prioritization along with trustworthiness of test case execution. This paper demonstrates how software testing can be efficient with management of data integrity factor to avoid major security issues. One of the main advantages of our approach is that domain specific semantics can be integrated with the data quality test cases prioritization, thus being able to discover test feed data quality problems beyond conventional quality measures.
机译:本研究的重点是管理软件开发生命周期中软件测试阶段涉及的数据完整性和可信赖性。似乎很多时候,数据集成都落后于软件测试阶段,而直接集中在软件部署或交付时间上。为了避免由于缺乏数据集成而导致的问题,我们开发了一种算法,该算法可以跟踪测试用例优先级的集成以及测试用例执行的可信度。本文演示了如何通过管理数据完整性因子来避免主要的安全问题来提高软件测试的效率。我们方法的主要优点之一是可以将特定于领域的语义与数据质量测试用例的优先级集成在一起,从而能够发现常规质量测度之外的测试提要数据质量问题。

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