Tag: automation-testing
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API Testing Services: Solutions, Process, Tools & Best Providers
API testing services help organizations validate API functionality, performance, security, integrations, and reliability across the software lifecycle. These services are typically delivered by QA teams, testing vendors, or automation platforms to ensure APIs work correctly in real-world environments. APIs are no longer just backend infrastructure—they are the backbone of modern digital products. Whether you’re building…
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Boundary Value Analysis (BVA) in Software Testing
Boundary Value Analysis is a black-box testing technique that targets input values at the edges of valid ranges – minimum, just below minimum, maximum, just above maximum – where most defects occur. Testing six boundary values instead of every possible input catches off-by-one errors, operator mistakes, and validation gaps with minimal effort. In API-driven systems,…
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Software Testing Strategies: Types, Examples, and Best Practices for Dev Teams
A software testing strategy defines how, when, and what to test across a project, spanning test levels, functional and non-functional types, and approaches like automation, risk-based, and shift-left testing. Within the automation piece, Keploy reduces manual effort on API and integration tests by generating both the tests and their mocks from real traffic. Software testing…
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Software Testing Basics Simplified: A Guide For Beginners (2026)
Software testing basics are the shared vocabulary and principles – defect vs failure, verification vs validation, test levels – that turn ad hoc checks into a process teams can trust. Most beginner confusion isn’t about picking test types; it’s these fundamentals staying unclear. The fix: one high-impact flow, a mix of positive, negative, and boundary…
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Top 10 Open Source Automation Tools for Modern Software Testing
The right open source automation tool depends on which testing layer you’re strengthening, and no single tool covers all of them well. For API and backend testing specifically, Keploy generates tests automatically from real traffic without manual scripting. This guide breaks down all 10 tools by testing layer, so you can pick the right one…
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Agile vs Waterfall: Choosing the Right Approach for Your Project
Choosing the best project methodology for a software project can help or hinder it greatly. Teams frequently evaluate Agile vs Waterfall, especially when adopting agile testing practices to support faster releases and continuous feedback. This choice becomes especially important when engineering teams and QA teams work together. Rapid changes during development along with rapid product…
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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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Software Quality Assurance Services: A Complete Guide
In today’s fast-paced digital environment, software quality assurance services are no longer a choice in the development process; they are a requirement. SQA is not simply about identifying bugs; it is about preventing defects before they occur and making sure that software consistently delivers a great user experience. This blog will examine what Software Quality…
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Mockito Spy: Your Complete Guide to Testing with Real Objects
Hey! Quite a time right? Well we are back with another topic which is Mockito Spy. So you have ever been working with the unit tests and heard about this thing called Mocktio Spy, right? Maybe at this time, you’re even thinking what makes it different from other regular mocks or what this is spy…
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Test Automation 2030: Rethinking Test-Pyramid Strategies for the AI-Era
Manual testing can’t keep up with today’s fast-moving, AI-powered software development. Test automation isn’t just about saving time-it’s about surviving in a landscape where releases happen daily and bugs can cost millions. Now since AI-generated code is increasing, quality control and ownership becomes more important. From the classic Testing Pyramid to modern takes like the…