Tag: software testing
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Types of Software Testing: A Comprehensive Guide (2026)
Software testing validates what an application does and how well it does it – from functional correctness and performance under load to security vulnerabilities and cross-environment behavior. Teams organise this work by level, purpose, technique, and execution method. Most combine these based on risk, with API, integration, and regression testing – where Keploy automates coverage…
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DORA Metrics: Benchmarks, Tools & Strategies to Improve (2026)
DORA metrics are five research-backed measurements used by engineering teams to evaluate software delivery performance across two dimensions: throughput (speed) and stability (reliability). Most teams can track their numbers – the harder part is knowing which metric to fix first and what actually moves it. This guide covers 2026 benchmarks, proven strategies, and where automated…
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Regression Testing Tools: Top 11 Compared (2026)
Regression testing tools are the safety net your software can’t afford to skip. As teams deliver features more quickly than ever before, it is critical to ensure that previously developed features continue to function correctly. That’s where regression testing tools come in. These tools automate repetitive tests, catch bugs introduced by code changes, and integrate…
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Verification vs Validation in API-first Software Development
It’s easy to create APIs very quickly. However, creating APIs that are reliable when used in challenging distributed systems is much harder. Many development teams are moving quickly to ship features to the market, which has led to the verification vs validation distinction becoming the middle ground between a successful launch and an incident that…
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Types of Regression Testing in Software Testing Explained (Updated)
Regression testing covers eight distinct approaches, each suited to different scenarios – corrective for minor changes, selective for targeted impact, progressive when new features alter existing flows, complete after major architectural changes, and automated for continuous CI/CD validation. The right choice depends on change scope, release timeline, and risk tolerance. Even small software changes can…
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How to Build an Automation Framework for API First Testing
An automation framework for API-first testing is a structured set of guidelines, reusable components, and tools that standardizes how API tests are written, run, and maintained across a team. A strong one combines test data management, configuration management, a test execution engine, reporting, error handling, and CI/CD integration. To build it, define your scope, pick…
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What is Monkey Testing in Software Testing? Types, Tools & More
Monkey testing feeds random, unscripted inputs into an application to uncover crashes, memory leaks, and unhandled exceptions that structured test cases miss. It runs in three modes: ignorant (fully random), intelligent (randomised within known areas), and smart (plausible user journeys randomised). The hardest part is reproducing a crash once it occurs, which is why logging…
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SDK vs API: Simple Guide for Developers
APIs (Application Programming Interfaces) and SDKs (Software Development Kits) are vital components of modern software development. APIs enable applications to communicate and exchange data, while SDKs typically provide a comprehensive toolchain, libraries, and documentation to build features as robust as possible, or even an entire application. This guide will go over the differences, examples, and…
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Best Automated Software Testing Tools to Use in 2026
Automated software testing tools have become the baseline for any engineering team that ships software regularly. Companies like Netflix, Stripe, and Google run thousands of automated tests on every commit because manual regression cycles at their release cadence simply aren’t feasible. The same principle applies regardless of team size. In 2026, the tool landscape has…
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Top 15 Software Development Tools in 2026 (Ranked & Reviewed)
Software development tools are programs that help developers write, test, deploy, and maintain applications faster and with fewer errors. The right combination depends entirely on which stage of the SDLC you’re strengthening – coding, testing, deployment, and collaboration each need different tools, and a gap in any one phase slows the whole team down. Explore…