Tag: software testing
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What Is a Regression Bug? Causes and Real Examples
Regression bug reports tend to share one sentence: it worked last week. That sentence makes them some of the most frustrating tickets to receive, because the feature was tested, shipped, and trusted before something unrelated knocked it over. Users also feel them sooner than most bugs, since they were already relying on the thing that…
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What is API Simulation? Tools, Types & Use Cases
API simulation replaces real dependencies with stand-ins that respond like the actual service, keeping tests deterministic and free from rate limits, per-call fees, or unfinished upstream APIs. Simulators are built from hand-written stubs, OpenAPI specs, or recorded traffic; Keploy follows the recorded-traffic approach, capturing real HTTP, gRPC, database, and queue calls and replaying them automatically.…
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What Is Service Virtualization: Definition, Types & Tools (2026)
Service virtualization replaces real external dependencies (APIs, databases, queues, or third-party services) with controlled simulations that respond like the real thing. Tests run against these virtual services whether the real dependency is unavailable, expensive to call, or still being built. Keploy implements this by capturing real dependency interactions from live traffic and replaying them automatically…
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Playwright API Testing: A Complete Guide (2026)
Playwright API testing uses the HTTP client built into Playwright, called APIRequestContext, to send requests and assert on responses inside a Playwright test. You don’t need a browser or a separate tool. If your team already uses Playwright for end-to-end browser tests, the API layer requires no separate testing framework. It runs inside the same…
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Dependency Mocking & Service Virtualization Guide
Dependency mocking replaces real external dependencies (APIs, databases, queues) with controlled substitutes during testing. Service virtualization extends this to enterprise scale, adding stateful simulation and protocol support beyond HTTP. Keploy implements a traffic-capture approach: it records real dependency interactions at the kernel level using eBPF and replays them in CI, making integration tests deterministic without…
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Test Case Template: Components, Examples & Best Practices
Without a test case template, test cases drift. One tester writes three-word steps. Another skips preconditions entirely and wonders six months later why nobody can reproduce the bug that shipped to production. A third writes paragraphs where steps should be. The test case template fixes this. It gives every tester on your team the same…
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QA Testing Tools: The Best Options by Category (2026)
QA testing tools have never been more varied, and more confusing to choose between. In 2026, the category spans unit testing frameworks, API automation platforms, AI-powered self-healing test suites, and everything in between. Most teams don’t need one tool. They need a stack of three to five that cover different parts of the delivery cycle.…
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Test Automation ROI: Formula, Examples & Benchmarks (2026)
Test automation ROI measures the financial return of automating tests against the full cost of building and maintaining them. Most teams overstate savings and underestimate maintenance – the cost that compounds quietly year over year. The strongest returns come from keeping the investment side lean. Keploy addresses this directly by eliminating manual test authoring, which…
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Maintenance Testing: Types, Challenges & Tools (2026)
Last month, a two-line bug fix took down three unrelated features in a colleague’s app. The fix itself was correct — it patched a null check on a checkout API. Nobody re-ran the tests for the inventory service that depended on it, and by Monday, support tickets were stacking up. That gap is exactly what…
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Shift Left vs Shift Right Testing: Key Differences & Use Cases (2026)
Shift left vs shift right testing isn’t really a debate. Teams that treat it as one end up with gaps that neither approach covers alone. Shift left catches defects before they reach production. Shift right learns from what happens after they do. The teams shipping most reliably in 2026 don’t choose between them. They run…