A Disjoint-Partitioning Approach to Enhancing Metamorphic Testing of DBMS

M. Tang, T. H. Tse, Z. Zhou
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引用次数: 1

Abstract

Owing to big data, DBMS testing faces the oracle problem, that is, it is difficult to verify execution results against expected outcomes. Rigger and Su applied metamorphic testing to alleviate the challenge. We propose a disjoint-partitioning approach to extend their work. We have conducted an empirical case study on OceanBase, the DBMS associated with the world's fastest online transaction processing system. Even though Ocean- Base has been extensively tested and widely used in the industry, we have unveiled various hidden failures and crashes.
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一种增强DBMS的变形测试的分离划分方法
由于大数据的存在,DBMS测试面临着oracle问题,即很难根据预期结果来验证执行结果。Rigger和Su采用变质试验来缓解挑战。我们提出了一种分离分割的方法来扩展他们的工作。我们对与世界上最快的在线事务处理系统相关的数据库管理系统OceanBase进行了实证案例研究。尽管Ocean- Base已经经过了广泛的测试并在行业中广泛使用,但我们也发现了各种隐藏的故障和崩溃。
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