Enterprise ecologies are becoming more and more complicated every day. Continuous testing is a crucial element as firms look for new strategies to provide software more quickly! Check out this list of the most common continuous testing myths we encounter.
1. IT IS EXPENSIVE
It is not impossible to find funding for integration, regression, and unit testing instead of performance testing, and sometimes even at the expense of performance testing. Although it could appear to be a time- and resource-consuming task, once the teams have solidly ingrained the test-it-quick mentality into the entire strategy, it is not a costly testing mode. Additionally, the continuous testing method pays off greatly in the ultimate result when it is managed with the right vision, foundation, tools, and scale.
2. ONLY AGILE TEAMS USE CONTINUOUS TESTING
Practices for continuous testing can be applied to any project. Teams can build virtual services to imitate any missing apps if any dependent systems are not yet available, allowing testing to start as soon as feasible.
3. CONTINUOUS TESTING DOESN’T WORK FOR LARGE OR COMPLEX SYSTEMS
API-level tests that verify integration points between systems can significantly raise the standard of the product. Additionally, service virtualization can mimic missing application requirements when investigating conventional application situations. Testing application interfaces is frequently crucial to quickly identify problems in large/complex systems.
4. COMPLETE TESTING IS POSSIBLE
No matter how thoroughly or frequently a test is run, a perfect report is never feasible. There are always areas of grey that must be taken into account. This testing approach enables all parties to be prepared for unanticipated increases or decreases in demand, user experience, capacity, throughput, response time, etc.
5. AUTOMATION REDUCES TESTING TIME
The scope of automation should be kept to things like deployment, build management, data transfer, and data flows. Manual checks and inspections are always necessary for a variety of factors, including codebase, design, UI quirks, and architecture. Any important component that is not woven into an automation nose can easily be missed and cause chaos on the big performance day.
6. CONTINUOUS TESTING ISN’T MEANT FOR CLOUD APPLICATIONS
Regardless of where your application under test is hosted (locally, in a private data center, in a public data center, or some combination), continuous testing practices can be adopted.
7. CONTINUOUS TESTING DOESN’T WORK FOR REGULATED INDUSTRIES
Continuous testing may reduce constraints even in environments with some of the harshest compliance regulations, delivering thorough logs and test reports that demonstrate compliance as part of the whole delivery process.
8. THERE ARE NO BUGS IN A TESTED PRODUCT
Without adopting a continuous performance testing strategy, many factors such as transaction volume, speed, response latency, unforeseen scenarios, mission-critical oversights, distinct peak orders, load limits, and unexpected server crashes cannot be reliably predicted.
Undoubtedly, continuous testing requires work. It will need resources, time, and deliberate effort. However, because of how alluring and profound the effects are, many organisations are moving forward with the concept without any hesitation. The results are significant: assurance in your product, flexibility to handle more — whatever/whenever — and the obvious robustness of what you are delivering.
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