Many API tests stop at verifying a 200 OK response status code. While checking status codes is a good start, it does not guarantee that the backend did its job.
To build bulletproof API test suites, we must assert on the response body, data types, header configurations, and database integrations.
Many backend bugs only surface when multiple actions occur at the exact same millisecond. Among these, database deadlocks are some of the most frustrating defects.
A deadlock occurs when two transactions hold locks on different resources, and each attempts to acquire a lock on the resource held by the other.
How do you test an input field that accepts values between 1 and 1000? Testing every single number is impossible and redundant.
Equivalence Partitioning is a test-design technique that groups input ranges into equivalent classes, allowing you to test a single value from each group to cover the entire set.
When preparing a performance load test, the temptation is to immediately spin up 500 or 1,000 virtual users to see how the system handles the stress.
However, scaling too quickly can result in debugging nightmares. A baseline run with a single user verifies script stability before scaling up.
Maintaining automated test suites is one of the most time-consuming tasks in software testing. As user interfaces evolve, static element locators (like XPaths, IDs, or CSS Selectors) break, causing automation runs to fail.
Traditional solutions involve manually inspecting DOM trees and updating selector hashes—a tedious process that slows down CI/CD loops.