Non-Functional Testing: A Complete Handbook for Developers
Non-functional tests assess usability, performance, scalability, and security - all of which determine the success of an application.
In software development, quality assurance is significantly important in securing seamless performance and the quality of the final outcomes. And speaking of QA, testing is an indispensable part. There are multiple types of software testing, and each plays a different role in the development process and serves different purposes. For example, unit testing is conducted to verify the business logic, while integration testing validates the interaction between components. In this article, we are about to mention two testing methods used to evaluate the maximum capacity of an application or software as well as how it performs under specific conditions, and they are performance testing and load testing. However, these two types of tests are often confused over each other for their likenesses. Therefore, we are going to make it clear by outlining all the primary differences between them.
It is a type of software testing. It is utilized to measure the response time of an application, system, or software when it is under a normal load limit.
The main focus of a performance test is to evaluate how a system behaves in terms of responsiveness, stability, scalability, and resource usage under a specific workload. Or in other words, a performance test helps to check how many users can work with the system simultaneously without slowing it down. It is important to note that performance tests are not only about verifying the system performance by speed but also about making sure that the system can handle the intense loads without any errors or data loss.
Ultimately, the goal of QA teams when conducting performance tests is to get the performance metrics and eliminate bottlenecks in the SDLC. Performance tests encompass multiple forms of testing besides load tests, such as stress testing, scalability testing, endurance testing, capacity testing, and responsiveness testing.
Types of performance testing:
Performance testing offers various benefits that help to guarantee the quality of a system, application, or software. These are some visible ones:
Conducting performance tests enables you to validate the core functions of a system or application to ensure they perform properly without any errors.
Performance tests can be conducted at various stages of the software development lifecycle. And conducting it early in the SDLC provides an opportunity to get feedback about the system’s performance at an early stage, which ultimately saves time and money and mitigates the risk of potential performance issues in the future.
Improve User Experience: Performance testing provides actionable insights about the system’s performance and response time from a user’s perspective. No doubt, a system that is slow and unresponsive is likely to frustrate users. Based on that, you can respond to the users’ input shortly and ensure a good user experience, which would lead to the success of the final version of the applications.
A system that can sustain prolonged loads without any errors or data loss is considered to be stable. Performance testing helps to identify performance bottlenecks and fix them before the system goes live to ensure its stability.
Performance tests help developers to identify areas where they can optimize the use of resources, such as CPU, memory, and database, and minimize wastage in the long run.
Load testing is one type of non-functional testing that examines the behaviors of software, application, or system when it is under an expected high load. The purpose of a load test is to see how the system reacts to the peak load and whether it sustains and remains stable.
Normally in a load test, an application or software is put into a scenario simulated in that multiple users are accessing it at the same time. A load test often starts with low numbers of virtual users and gradually increases the user load to check at which point the system performance is impacted. Through this test, developers can measure the system’s sustainability. Ultimately, load testing helps to identify bottlenecks or system performance issues that may occur when the system is under heavy load volumes of concurrent users.
Load tests and stress tests are often used together, and they are quite similar as well since they are aimed at testing the upper limit of an app, system, or software. The only difference is that in a stress test, the system is put into extreme loads to check if it can still function properly as when under normal load.
Like performance tests, conducting load tests also gives the development team some advantages, which are as follows:
Downtime is often caused by insufficient resources to handle traffic spikes. Load testing can help identify the maximum load capacity of a system before it goes live. Therefore, you can make sure that the system is able to cope with sudden traffic surges and maintain stability without any downtime. This also contributes to a better user experience.
If a system or application fails to handle the expected load, it may result in memory leaks and resource wastage. This is when load tests help you validate the system’s capacity and work on the scalability afterward.
Poorly written code impacts the process of utilizing and optimizing your resources one way or another; however, it is difficult to identify in normal circumstances. Load testing can help to simulate a high user load on the system, which would detect any inefficient code and help you to refactor it before it causes any significant problems.
End-users may have uneasy experiences when your system or application breaks down due to overload. Load testing enables the development team to better prepare the system for handling large volumes of users, thereby preventing crashes and securing user experience. As a result, a good user experience will lead to better user retention.
Despite some slightly similar aspects of performance and load testing, they are not interchangeable. Let’s look closer into their distinctive features in the comparison below:
Both performance testing and load testing are integral parts of quality assurance. After going through this comparison, we expect you to understand what these testing methods are about and how they differ. Here is a short side-by-side comparison of differences between performance testing and load testing:
Performance Testing
Load Testing
Non-functional tests assess usability, performance, scalability, and security - all of which determine the success of an application.
Have you paid enough attention to quality assurance? In software development, QA plays a crucial role, and you will find out about it in this post.
Watch out for these latest trends in software testing if you don’t want to be left behind in 2024.
Not sure if you should implement manual or automation testing into your software project? Here is how to choose the right testing method for you.
Manual and automated software testing and careful planning is integral to a successful testing process. Here are 7 ways to achieve just that.