.png){kind=icon}
Return
Mutating database queries
.png){kind=icon}
OA
AI
DOI：10.1016/j.infsof.2006.06.009.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
A set of mutation operators for SQL queries that retrieve information from a database is developed and tested against a set of queries drawn from the NIST SQL Conformance Test Suite. The mutation operators cover a wide spectrum of SQL features, including the handling of null values. Additional experiments are performed to explore whether the cost of executing mutants can be reduced using selective mutation or the test suite size can be reduced by using an appropriate ordering of the mutants. The SQL mutation approach can be helpful in assessing the adequacy of database test cases and their development, and as a tool for systematically injecting faults in order to compare different database testing techniques. (c) 2006 Elsevier B.V. All rights reserved.
Keywords:
software testing
database testing
SQL testing
fault-based testing
mutation testing
test adequacy criteria
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.3
Papers:
3.8K
Citations:
7.7K
Organization
No organization information available
Cited Papers
.png){kind=icon}
ShareSaveThe impact of data models and task complexity on end-user performance: an experimental investigationOAAI
OAAIShareSaveShareSaveShareSaveShareSaveShareSave
View more