Performance testing is one of the most important phases of any product launch as it verifies and validates the overall product performance. This testing can be done in different forms depending upon the resource availability and the type and volume of the user base. The main agenda behind conducting performance testing on any product is to make sure the performance of the product is as expected before it gets launched in the market. Through the Performance Testing Tutorial, let us learn about Performance Testing in depth.
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The process of validation of a project or system across parameters like scalability, reliability, speed, resource usage, stability, etc is called Perf or Performance Testing. This testing is done to ensure that the software or the system is durable enough to perform as per set expectations under a heavy workload and generate the desired output. It is a qualitative testing technique that verifies the product under test across these parameters.
Like any other testing, that uncovers the loopholes and problem points in a given product, performance testing also brings up the weak point in the product under test. It indicates the scope of improvement in any product that is being tested over issues like a delayed response, large turnaround time, problems in running multiple commands simultaneously, and other inconsistencies across the software or the product. A bad test result indicates the overall poor usability of the product and calls for some improvements in it.
Software testing is done before the product is given a green signal to be launched into the market. The customers rely highly on the feedback and reviews of a given product where responsiveness is the most sought-after trait. A good performance test highlights the bottlenecks in the software before it gets to the end-user.
There are several benefits to conducting performance testing across the target software before launching it directly in the market. Some of these are:
The most common performance problems are associated with the fundamental features that a performance test checks a system for. These include parameters like speed, reliability, response time, etc.
Some of the common performance problems are:
The process of performance testing is as follows
Under this step, the physical environment under which testing will be conducted is set up. These include network configurations, software, and hardware requirements. You can conduct performance testing across different types of environments depending upon the availability and requirement. These may include:
Parameters or metrics across which the product will be tested are determined. These include parameters like speed, accuracy, durability, etc.
#Step 3: Planning and designing of the performance test
Preliminary model(s) are created on the basis of decided parameters. These are like small test cases that are built around metrics including target and variability metrics.
#Step 4: Configuration of the test environment
Under this step, you need to set up the metrics and other elements of the test cases and environment in order to conduct the testing.
#Step 5: Implementation of the test design
Once the test cases are developed and configured, you can now implement these tests on the target product.
#Step 6: Execution
The penultimate step is to run the developed tests that have been implemented on the target product. This step includes monitoring of the process and capturing all the data that is the outcome of the test.
#Step 7: Analysis
The final and most important step is to analyze the outcome and results of the run performance test and see what areas need some correction. This is where the actual viable results will come from to make any improvement in the target product.
The amount of time spent in the execution of non-idle threads by a processor is called processor usage.
The given amount of physical memory space that a processor has on a computer is called memory use.
The amount of time a disk spends in executing a command like read or write request is called the disk time.
The number of bits per second (bps) used by a given network interface accounts for the bandwidth.
A particular number of bytes that have been allocated to a given process and cannot be shared amongst other processes are called private bytes.
Committed memory accounts for the total amount of virtual memory that has been used.
The number of pages that have been used in the whole process to read from or write onto the disk for the resolution of hard page faults is called memory pages/second.
The testing validates the target product for smooth functioning under the heavy or expected user load for which it is built. Any glitches in this type must be resolved before the product is launched in the market.
Stress testing needs to be done in order to determine the break-even point of any software or product. This testing is done in order to check to what extent can the product handle user stress.
Endurance refers to testing the duration to which the product can bear the overload without coming to a halt or breakdown position.
Spike testing refers to checking the durability of the product under test for a sudden increase in user activity.
Volume testing refers to tracking and monitoring the software’s behavior under high volumes of data to see how well the product behaves under increased volume.
The scalability testing is reflective of the idea of how well the product can support the scaling up in case required.
|Functional testing||Non-functional testing|
|Answers the WHAT in terms of system performance and work||Answers HOW in terms of system performance and work|
|It is done in order to make sure that the product is free of glitches and bugs and meets the client requirements||It is done to make sure that the developed product is at par with the client’s expectations|
|Its output is in terms of the accuracy of the software||Its output is in terms of the behavior of the software|
|Example: verifying the login step||Example: verifying short load time of the homepage|
|Both manual and automated testing work well||Automated testing is more preferred|
Here is the list of Testing tools available for Performance Testing
It is one of the best and most used testing tools in the market right now. It is highly capable of creating a large number of virtual users working on a web server.
As is its name, HP LoadRunner is exceptional at handling a large number of users for testing.
Web load is one of the best testing tools for stress and load testing.
A great testing tool to map the scalability and speed of the target product.
LoadView tool is a testing tool that uses real browser-based load testing to generate highly reliable data by implementing multiple scripts that simulate users.
It is one of the fastest testing tools with a speed of around 10 times the traditional testing tools that integrated seamlessly into your existing software with a wide array of tests.
Some of the examples of performance test cases are:
Performance testing tools can be selected by factoring in several components that have a considerable impact on the decision. These include:
Performance testing is a crucial aspect before the end product is finally aired for public use. Keeping major factors like costs, testing tool type, metrics, and fundamental parameters, extensive testing can be done to ensure the robustness of your end product.
To know more about performance testing and test cases, leave comments in the comment section below.
Ravindra Savaram is a Content Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.