Coverage Measurement for SQL Queries

Structural Coverage Criteria for Testing SQL Queries

Adequacy criteria provide an objective measurement of test quality. Although these criteria are a major research issue in software testing, little work has been specifically targeted towards the testing of database-driven applications. In this paper, two structural coverage criteria are provided for evaluating the adequacy of a test suite for SQL queries that retrieve information from the datab...

Full predicate coverage for testing SQL database queries

In the field of database applications a considerable part of the business logic is implemented using a semi-declarative language: the Structured Query Language (SQL). Because of the different semantics of SQL compared to other procedural languages, the conventional coverage criteria for testing are not directly applicable. This paper presents a criterion specifically tailored for SQL queries (S...

Towards Practical Differential Privacy for SQL Queries

Differential privacy promises to enable general data analytics while protecting individual privacy, but existing differential privacy mechanisms do not support the wide variety of features and databases used in real-world SQL-based analytics systems. This paper presents the first practical approach for differential privacy of SQL queries. Using 8.1 million real-world queries, we conduct an empi...

Estimating Progress of Execution for SQL Queries

Evolving SQL Queries for Data Mining

This paper presents a methodology for applying the principles of evolutionary computation to knowledge discovery in databases by evolving SQL queries that describe datasets. In our system, the fittest queries are rewarded by having their attributes being given a higher probability of surviving in subsequent queries. The advantages of using SQL queries include their readability for non-experts a...