Top Performance Testing Trends to Launch a Reliable & Scalable App

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Top Performance Testing Trends to Launch a Reliable & Scalable App

Top Performance Testing Trends to Launch a Reliable and Scalable App
The world is moving rapidly towards digital transformation. Constantly evolving technologies and innovations have kept businesses on their toes to stay ahead of the market. Performance of applications has come at the forefront to render a flawless customer experience.
Here are a few,performance testing trends that you need to know to launch a reliable and scalable app cost-efficiently.

 

1. Agile and DevOps

 

Organizations have adopted Agile in reaction to constantly changing needs, whereas DevOps has adopted it in response to speed.
DevOps is a set of practices, rules, procedures, and technologies to integrate development and operations activities and shorten the time between development and operations. DevOps has become a generally recognized approach for companies seeking to reduce the time required for software development, delivery, and operation.
Both Agile and DevOps enable teams to create and deploy high-quality software more quickly, and a concept referred to as “Quality of Speed.” This adoption increased in popularity over the last five years and is expected to continue to do so in the future years.

 

2. Test Automation

 

To successfully achieve performance testing results, software teams cannot ignore test automation since it is a critical component of the DevOps process.
They must identify possibilities for automated testing to take the role of manual testing. Test automation is a significant bottleneck in DevOps, and it recommends that the majority of regression testing automate at the very least.
Given the popularity of DevOps and the underutilization of test automation (less than 20% of testing automated), companies have many opportunities to improve test automation adoption. Advanced methods and tools should develop to enable more test automation usage in projects.

 

3. Automation of API and Service Test for Performance Testing

 

Client-server decoupling is a current trend in Web and mobile application design. APIs and services are often utilized across many applications or components. As a result of these changes, teams must now test APIs and services independently of the application that uses them.
It is more efficient and effective to test APIs and services across client applications and components than to test the client. The requirement for API and service test automation is increasing, possibly exceeding the need for end-user functionality on user interfaces.

 

4. Performance Testing using Artificial Intelligence

 

Although using artificial intelligence and machine learning methods for software testing challenges is not new in the software research community, current advances in AI/ML combined with a huge quantity of available data provide new possibilities for employing AI/ML in performance testing.
Machine learning and artificial intelligence application testing are still in their early stages. Businesses will discover methods to improve their AI/ML testing processes.
Artificial intelligence/machine learning algorithms were developed to produce more effective test cases, test scripts, test data, and results. Predictive models would aid in determining where what, and when to conduct testing. Intelligent analytics and visualization assist teams in detecting performance problems, determining test coverage, detecting regions of high risk, and so on.

 

5. Environments and data for performance testing

 

The fast development of the Internet of Things (IoT) has increased the number of software systems running in various diverse environments. It is a challenge for testing teams in terms of ensuring enough test coverage. Indeed, a significant obstacle to performance testing in agile projects is a lack of test environments and data.
We’ll see an increase in the number of clouds- and container-based test environments available and used. Some solutions for the lack of test data include using AI/ML to create and expand data projects.

 

In Summary


We live in a world defined by extraordinary exponential change as a result of technology and digital transformation. Businesses need to become more customer-centric to offer a flawless customer experience. Performance testing can help businesses identify and fix performance bottlenecks and launch a more responsive and scalable application.