Which is better functional testing or performance testing?

Performance testing validates that application software can handle real time scenarios and address issues, if any, to deliver a robust and efficient product to the end users. Functional testing on the other hand ensures the validity of software as per the functional and business requirements.

Does performance testing have future?

The future of performance testing lies in taking a user-centric approach. It’s not about CPU usage or disk IOPs, it’s about what the user experiences and perceives as performance — whether it’s on their mobile or desktop device. The future for performance testing and tuning is always going to be eternal vigilance.

How do you develop a career in performance testing?

There is a need for people who have at least one of these capabilities – building an apt performance testing strategy, creating work load models, creating test scripts/ scenarios, executing scripts, monitoring and reporting test results. A formal career path for a performance tester should be formulated.

What is the scope of performance testing?

Performance Testing is a software testing process used for testing the speed, response time, stability, reliability, scalability and resource usage of a software application under particular workload.

What knowledge is required for performance testing?

Performance testing requires you to learn development languages, libraries, and frameworks that are used in building this software. You need to understand how Garbage Collection works, in case you work with a Java or . NET project.

What are the common problems of performance testing?

6 Common Performance Testing Mistakes

• Inadequate user think time in scripts.
• Using an inaccurate workload model.
• Setting up inadequate infrastructure monitoring.
• Usage of hard coded data in every request.
• Ignoring system or script errors even though response times and throughput may look fine.
• Overloading load generators.

What makes a good performance tester?

Identify your goals, requirements, desires, workload model and your stakeholders. Understand how to test concurrency, arrival rates, and scheduling. Understand the roles of scalability, capacity, and reliability as quality attributes and requirements. Understand how to setup/create test data and data management.