Integrity Constraint Verification of Structured Query Language by Abstract Interpretation

Anwesha Kashyap, Angshuman Jana
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Abstract

Over the decades and now-a-days the data-driven applications are playing a pivotal role in every aspect of our daily lives by providing an easy interface to store, access and process crucial data with the help of Database Management System (DBMS). However, it is always necessary to ensure the data integrity for every operation on a database. In this paper, we propose a novel framework for Structured Query Language (SQL), aiming at automatically and formally verifying integrity constraints in terms of enterprise policy specifications on data in the underlying database. To this aim, we extend the abstract interpretation theory to the case of structured query languages.
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基于抽象解释的结构化查询语言完整性约束验证
在过去的几十年里,数据驱动的应用程序在我们日常生活的各个方面都发挥着关键作用,通过数据库管理系统(DBMS)提供一个简单的接口来存储、访问和处理关键数据。但是,始终有必要确保数据库上的每个操作的数据完整性。在本文中,我们提出了一个新的结构化查询语言(SQL)框架,旨在根据企业策略规范自动形式化地验证底层数据库中数据的完整性约束。为此,我们将抽象解释理论扩展到结构化查询语言。
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