Software Testing Articles & Tutorials: Load Testing, Unit Testing, Functional Testing, Performance Testing, Agile Testing, DevOps
Metrics exist to answer two questions: how good is the software we deliver, and is our testing approach actually working? AI-generated tests broke the old answers to both. QA metrics were never really about numbers. They exist to answer two questions. First, how good is the software we are delivering to customers? Second, is our testing approach actually working, or are we just going through the motions?
Buying a car no longer starts when someone walks into a dealership. For most buyers, the journey begins online. They compare models, browse finance options, check vehicle availability, read reviews, and book test drives before speaking with a salesperson. Every one of these interactions shapes their impression of the dealership.
Most people only think about software testing when something goes wrong. A payment fails, an app crashes, or a login page refuses to work. While these may seem like technical issues, customers see them very differently. To them, every glitch reflects the quality of the business behind the software.
Digital accessibility has moved from a nice-to-have to a legal and business requirement. Companies across every sector are facing lawsuits, compliance audits, and customer complaints tied to inaccessible websites and applications. At the same time, many organizations lack the in-house specialists needed to test against WCAG 2.2 standards properly.
A user posts a harmless product photo, uses ordinary language, and receives an immediate approval. That is the happy path. It is also the least revealing test case for a platform that accepts reviews, comments, images, videos, or live chat.
There are 4.3 million developers in the country, many of whom deploy code daily only to encounter a broken staging server. When staging environments constantly shift, finding bugs turns into a guessing game, causing delivery schedules to slip. Unpredictable test beds cost development teams valuable time and reduce release confidence.
In this article, Mikhail Golikov, the sole QA on a seven-team backend e-commerce platform, explains where each regression check belongs, in the browser or at the API. He shares the rule he actually uses, two bugs that only one layer could have caught, and the realization that finally made his browser suite small and stable.
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