Author: Sancharini Panda
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Top 10 Open Source Automation Tools for Modern Software Testing
Modern software development is continuously operating in a high-paced environment with high-pressure expectations to produce quality applications. To meet this expectation, open source automation tools help provide a faster, smoother testing process for today’s applications by providing a single tool to test all layers, including web, mobile, API, and performance. Therefore, testing is now accessible…
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A Complete Guide to CI Testing: Benefits, Tools & Workflow
Imagine pushing a new feature to production, only to discover that it crippled half your APIs, pushed other teams into delays, and launched a series of frantic bug repairs in the middle of the night. For most dev teams, this is not a describe-a-scenario but a reality. With increasingly intricate apps and quickening release rhythms,…
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8 Types of Regression Testing in Software Testing Explained
The user experience of an app can often generate impacts in unexpected areas. As the industry shifts to a rapid development cycle with more new features being released along with a growing number of code changes each month, development teams find it difficult to deliver new capabilities while maintaining stability. If an organization chooses a…
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Open Source Load Testing Tools: A Modern Guide for DevOps & SRE
Have you ever observed an application that was completely functional, and suddenly it starts lagging at peak usage? Most teams are concerned with functionality first and performance under load second. Open source load testing tools expose your application’s bottlenecks before your users notice them. In this blog, we explain how these tools work, compare their…
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What is a Test Script in Software Testing?
Have you ever considered that even with intensive software testing and effort, important software bugs can still get through? The issue, in most cases, isn’t that you didn’t put in enough effort, but that testers evidently lack the knowledge of a proper process to follow. A test script in software testing provides very precise instructions,…
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How to Use Coverlet Coverage for Improved Code Quality in Testing?
Have you ever considered how well-tested your .NET code simply is? Many teams feel their test suite is complete until a bug makes its way into production. The hard part is not just writing tests, but determining if tests cover critical paths. When using standard coverage tools, coverage can seem convoluted and unrelated to how…
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How to Build an Automation Framework for API First Testing
As modern applications grow more complex and API-driven, maintaining test stability becomes increasingly challenging. Many QA teams struggle to manage scattered test scripts and inconsistent environments, leading to inefficiency and missed defects. The real solution lies in adopting a structured automation framework that brings order, scalability, and speed to the testing process. In an API-first…
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What Is Test Completion in Software Testing?
When can a team truthfully say “testing is done”? Have you ever shipped with doubts about whether enough testing actually happened? That hesitation is costly: escaped bugs, hotfixes, and lost customer trust. Test completion answers that question with objective evidence – not just opinions. This blog explains how to define, measure, and document test completion…
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How to Use Software Testing Metrics to Drive Better QA Decisions
Why do some QA teams consistently deliver reliable and high-quality software, while others toil to identify bugs and experience unstable releases? The real difference often is related to how easily the team is able to use software testing metrics to make measurable decisions. Often, the testing process turns out to be a routine checklist activity…
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Modified Condition Decision Coverage (MC/DC) Explained
What if a single, untriggered logical flaw could compromise an autonomous vehicle’s braking system or ground a commercial airliner? The stakes are unbelievably high with safety-critical software. Traditional code coverage metrics, however, often fail to test the subtle, complex dependencies within a single decision. Knowing that a line of code executed isn’t the same as…