With the growth and demand of Mobile applications, there is growing competition in the marketplace and performance has a great impact on the app’s reliability and dependability. Therefore, there is a high requirement for performance and load tests with suitable blueprint and execution. In general, performance testing validates the scalability, stability, and speed of the applications. This is significant for providing an ‘Amazing’ and ‘Ultimate’ experience to the users.
Key Purpose of Performance Testing:
To ensure the stability, speed, and accuracy of the software.
The Performance test is critical to authenticate the scalability, reliability, and responsiveness features of the software under test.
In software testing, the rapidity and response time of the specific application is one of the vital attributes. The performance testing uncovers the performance hiccups and bottlenecks to uphold the attention and interest of the customer. Such type of Testing falls into several categories like Stress Testing, Load Testing, and Spike Testing to mention a few. JMeter Distributed Testing: Step by StepIn software testing, the rapidity and response time of the specific application is one of the vital attributes.
The most common performance hiccups and glitches observed in any web/ mobile app are as follows:
• Poor response time
• Memory utilization
• Disk usage
• Poor scalability
• CPU utilization
• Loading Bottleneck
• Extended Loading time
• Software configuration problems for the Web server,
• Operating System limitations
• Load balancers, databases, etc.
• Poor network configuration
5 Key Challenges of Performance Testing:
A software application should be thoroughly tested with accurate testing processes before releasing to the customers. Like any other testing procedures, this type of testing also comes with a number of Challenges.
1- Testing Tools and Situation
Performance testing requires you to test the application under reasonable scenarios using performance testing tools. However, lots of times the enterprises do not have the budget or environment for executing the tests. One of the most efficient ways to conduct performance testing is to generate a replica of the production environment. Yet, the challenge lies in getting the proper outcome with limited resource and uneven scenarios. For example, creating a scenario where multiple users log into the system at the same time is hard.
There is countless consideration before moving further on with such type of testing. They comprise:
• Hardware Requirements
2- Test Coverage
It necessitates vast knowledge and talent to cover all the functionalities when doing performance testing. But, the scenarios must be exhibitive of a range of parameters. One can try automating core functionalities by gathering various scenarios. User data must be predicted properly as there would be lots of users using the system in their own context.
3- Performance Test Analysis
Evaluating and examining the performance test outcomes is the most challenging task in Performance and load of testing. It requires you to have comprehensive knowledge and better decision to examine tools and reports. In addition, you need to by and large upgrade the tests based on the definite situation.
4- Non-Functional Requirements
Both functional and non-functional requirements are vital for such kind of test. Functional needs are more precise and include input data types, algorithms, and functionality to be covered. The challenge lies in discovering less specific non-functional requirements. They include capacity, usability, stability, responsiveness, and interoperability.
5- Analyzing the Performance Test Outcomes
This is indeed one of the significant and trickiest of the challenges for Performance testing. A good amount of judgment and thorough knowledge of the system is necessary to examine the several performance result reports besides the tools used for the actual tests. A skilled tester should be able to judge the scenarios and if the test is done or not. The tester should be able to continuously refine the tests and keep adding tests consistent with the situations estimated during the course of time.