Category: community
-
Scenario Testing: A Complete Guide for QA and Software Teams
In contemporary software engineering, it is not sufficient to simply confirm that software applications function perfectly across all features – they also need to behave correctly with real users in real worlds. In this context, scenario testing has a significant role to play. Scenario testing fills the gap between functional testing and real user experience…
-
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…
-
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…
-
What Is a Test Environment? A Complete Guide for Developers
A test environment is a controlled setting that includes software, hardware, network configuration, test data, and testing tools, where applications can be set up and validated before they are delivered to real users. It can be understood as a safe space for developers and QA engineers to do an assessment of how an application performs…
-
Test Recorder: The Fast-Track to Codeless UI Test Automation
Introduction Software teams today are routinely under pressure to release features more quickly, while keeping quality in check, in today’s fast-paced digital ecosystem. Automation testing enables teams to develop this balance; however, most teams find that writing and maintaining test scripts becomes a heavy burden with technical complexity, and takes time away from building features.…
-
A Deep Dive into V Software Development and the V-Model Approach
In the high-speed world of software development, the label V Software Development can suggest two distinct but connected concepts. On one hand, it denotes software development with the contemporary V programming language—a language intended for simplicity, efficiency, and security. On the other hand, it can symbolize the V-Model Software Development life cycle, a traditional model…
-
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…
-
Sanity Checklist for Load Testing and Performance Validation
Did you know that almost 80% of failures in performance testing are related to missing basic pre-validation steps before performance testing is done? In the race to meet release dates, many development teams jump into performance testing without knowing that the system is ready for performance testing. The consequences of performance test preparation include inaccurate…
-
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…
-
Load vs Performance vs Stress Testing: Differences & Examples
Load testing, performance testing and stress testing are often mixed up, but in today’s CI/CD pipelines and production-grade engineering, they are solving completely different purposed. If you want to: Decrease downtime for peak traffic Identify bottlenecks before users do Avoid crashing the system with sudden traffic spikes Build APIs and applications that are FASTER +…