DATABASE TESTING

Database testing involves many layers. From the UI, to the data access, to the actual database. Data stability and security is absolutely critical for every business which makes database testing a step that shouldn’t be skipped. This kind of testing can ensure that databases are durable, scalable, and consistent. For the most efficiency and effectiveness, database testing is performed by a team independent from the developers.

In database testing, the data validity, integrity, database performance, procedures, triggers, and functions are all exercised and tested. Correct data updates, such as inserts and deletes, are ensured. Incoming and outgoing data is verified using decision coverage, condition coverage, and statement coverage techniques. Whether automated or manual, the goal of database testing is to validate the integrity of the storage and transfer of your company’s most important resource.

QA Mentor’s Testing Execution On-Demand Service and Test Design On-Demand Service has a rotating team of quality assurance professionals who are ready to work on your project immediately with automated or manual tests. For the fully manual project, our Manual Test Design and Execution Service is available to work with your developers and DBAs to go over functional specifications, build a comprehensive test plan, rapidly execute the tests, help remediate defects, and retest until the project is satisfactorily completed.

Typical Database Tests

Design and Structure Validation

This process involves reviewing the schema of the database ensuring the tables, columns, keys, indexes and relationships are optimal. We will also test stored procedures, triggers and jobs to ensure proper functioning.

Data Integrity Testing

When applications access a database to perform CRUD operations, mistakes in application programming can lead to inconsistent and partially updated databases causing data integrity issues. This process will identify such inconsistencies and address them.

Database Performance

This is one of the most common problems faced in databases. With proper testing, we can identify the source of problems.