With the Performance Test tools, you can evaluate the responsiveness, robustness, availability, reliability, and scalability of an application, according to the number of simultaneous connections, by evaluating its performance in high workload, and considering its behavior under normal circumstances.
It is a type of non-functional test. The purpose of such experiments is to ensure that the software does not present problems or unavailability in conditions of insufficient computational resources (such as memory, processing or disk space) when working in high competition or suffering some denial of service attack.
The goal of performance testing is not to find errors, but to eliminate performance bottlenecks.
This focus is to verify behavior based on three factors:
- Speed – determines whether the app responds quickly
- Scalability – determines the maximum user load that the application can support.
- Stability – determines whether the application is stable under varying loads
Benefits of Performance Test Tools:
- Improvement of quality from the user’s point of view;
- Reduction of the cost of changes;
- Reduction of system costs;
- Increased profits;
- Early identification of the critical defects of the application as system architecture;
- The satisfaction of the end-user;
- The clarity in the use of resources;
- A recent survey by Akamai, along with Forrester Consulting, found that 40% of consumers wait no more than 3 seconds for a page to load on a website because of website performance tests. Besides, 51% point out that the main cause for abandoning a shopping cart is the slowness of the site system. A 2-second delay in load time during a transaction results in abandonment rates of up to 87%.
Performance Test Life Cycle:
Performance testing begins in conjunction with the life cycle of software development (SDLC). The various phases of the Life Cycle of Performance Testing (PTLC) are:
- Non-Functional Requirements Elicitation and Analysis
- Performance Test Strategy
- Performance Test Design
- Performance Test Execution
- Performance Test Result Analysis
- Benchmarks and Recommendations
Performance Testing Types
There are some Performance Testing Types, where each has its objective and its particularities. Nowadays, these are the best known:
- Load Testing: It is usually performed to identify system behaviour under a specific expected load. This can be an expected amount of concurrent users, an hourly number of operations, or a certain number of transactions in the system under test.
This type of test is ideal for verifying that the application, web server, or database under performance testing in software testing maintains good behavior during its usual workload.
- Stress Testing: It is performed to check the behaviour of the environment and software during an extreme load. It is also used to determine whether the system under test will perform sufficient operations above the expected maximum.
- Endurance Testing: Also known as Soak Testing or long-term testing, it consists of determining whether the system under test can withstand a continuous load for long periods. It determines whether the software under test will behave appropriately in memory usage over a long period of use, for example. Another important point of this type of test is to verify that there is no degradation in performance after 4 or 8 hours of continuous use. This is done to ensure that the system meets the normal production periods in which the system will be used.
- Spike Testing: Tests the software’s reaction to sudden large spikes in user-generated load.
- Volume Testing: In Volume tests, much of the data is populated in a database, and the overall behavior of the software system is monitored. The goal is to verify the performance of the software application on multiple database volumes.
Load test x stress test
Researching this subject, we noticed that many people are still confused when talking about load tests and stress tests, so we brought a small comparison just to make it a little clearer.
Load Test analyzes the normal conditions of your app or website by answering questions such as:
- How quickly does it load when a user visits your site?
- How quickly will you load when 15 people are on your site at once?
Load testing is used to ensure that the software works as expected under normal circumstances.
Stress Testing, on the other hand, defies the limits of your site to see how much traffic is required to slow performance or stop it completely.
By simulating 10,000 users, for example, a site is likely to perform differently under this pressure than in everyday use. Although stress testing covers unlikely test environments, it is important to analyze risks and breakpoints.
Common performance testing issues
- Long charging time
- Little response time
- Poor scalability
Some common performance bottlenecks are:
– CPU utilization
– Memory usage
– Network use
– Limitations of the Operating System
– Disk usage
Examples of Test Cases
It is also interesting to note how test cases for this type of test are written, here are some examples:
- Check the response time is no longer than 4 seconds when 1000 users access the site simultaneously
- Check whether the response time of the application under load is within an acceptable range when network connectivity is slow
- Now check the maximum number of users the app can handle before crashing
- Then check database runtime when 500 records are read/written simultaneously
- Check the CPU and memory usage of the application and database server under peak load conditions
- Check application response time in low, normal, moderate and heavy load conditions
Performance Test Tools
There are several paid and free tools to perform performance tests:
- LoadNinja, New American
- LoadView, New View
- LoadUI NG Pro
- Apache JMeter
- Appvance, New
- NeoLoad, New
- Load complete
3- Strategic Tips
We would like to leave a video of this excellent professional that we follow daily on various topics in the area of Software Testing, where he cites 3 strategic tips for planning performance tests:
The three strategic tips are as follows:
- Analyze your customers’ usage of the app
- Identify the flows that customers use and
- Know what you want to find out.
We conclude that the use of performance tests is something that can help both in the analysis of how your system behaves today, and especially how it will behave in front of users.
We know that nowadays, if a page or the system itself takes a certain time to load, the number of users who will no longer use this site will rise dramatically, resulting directly in the company’s profit.