Metrics of Load Testing

Metrics are used in knowing the performance of load testing under different circumstances. It tells how accurately the load testing is working under different test cases. It is usually carried out after the preparation of load test scripts/cases. There are many metrics to evaluate the load testing. Some of them are listed below.

1. Average Response Time

It tells the average time taken to respond to the request generated by the clients or customers or users. It also shows the speed of the application depending upon the time taken to respond to the all requests generated.

2. Error Rate

The Error Rate is mentioned in terms of percentage denotes the number of errors occurred during the requests to the total number of requests. These errors are usually raised when the application is no longer handling the request at the given time or for some other technical problems. It makes the application less efficient when the error rate keeps on increasing.

3. Throughput

This metric is used in knowing the range of bandwidth consumed during the load scripts or tests and it is also used in knowing the amount of data which is being used for checking the request that flows between the user server and application main server. It is measured in kilobytes per second.

4. Requests Per Second

It tells that how many requests are being generated to the application server per second. The requests could be anything like requesting of images, documents, web pages, articles or any other resources.

5. Concurrent Users

This metric is used to take the count of the users who are actively present at the particular time or at any time. It just keeps track of count those who are visiting the application at any time without raising any request in the application. From this, we can easily know that at which time the high number of users are visiting the application or website.

6. Peak Response Time

Peak Response Time measures the time taken to handle the request. It also helps in finding the duration of the peak time(longest time) at which the request and response cycle is handled and finding that which resource is taking longer time to respond the request.

Load Testing – Software Testing

Load testing is a type of Performance Testing that determines the performance of a system, software product, or software application under real-life-based load conditions. This article focuses on discussing load testing in detail.

Table of Content

  • What is Load Testing?
  • Load Testing Techniques
  • Objectives of Load Testing
  • Load Testing Process
  • Metrics of Load Testing
  • Load Testing Tools
  • Advantages of Load Testing
  • Disadvantages of Load Testing

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What is Load Testing?

Load testing determines the behavior of the application when multiple users use it at the same time. It is the response of the system measured under varying load conditions....

Load Testing Techniques

Stress testing: Testing the system’s ability to handle a high load above normal usage levels Spike testing: Testing the system’s ability to handle sudden spikes in traffic Soak testing: Testing the system’s ability to handle a sustained load over a prolonged period of time Tools for Performance Testing: Make use of specialized load testing tools like Locust, Gatling, JMeter, LoadRunner, and Apache Benchmark. These tools assist in gathering performance measurements and simulating a large number of users. Specify the Test Objectives: Clearly state what your load test’s goals are. Recognize the required response times, transaction volumes and expected user behavior. Determine Crucial Situations: Determine the essential user scenarios that correspond to common usage patterns. A variety of actions, including user logins, searches, form submissions and other significant interactions, should be covered by these scenarios....

Objectives of Load Testing

Evaluation of Scalability: Assess the system’s ability to handle growing user and transaction demands. Find the point at which the system begins to function badly. Planning for Capacity: Describe the system’s ability to accommodate anticipated future increases in the number of users, transactions and volume of data. Making well-informed decisions regarding infrastructure upgrades is made easier by this. Determine bottlenecks: Identify and localize bottlenecks in the application or infrastructure’s performance. Finding the places where the system’s performance can suffer under load is part of this. Analysis of Response Time: For crucial transactions and user interactions, track and evaluate response times. Make that the system responds to changes in load with reasonable response times. Finding Memory Leaks: Find and fix memory leaks that may eventually cause a decline in performance. Make sure the programme doesn’t use up too many resources when it’s running....

Load Testing Process

Load Testing...

Metrics of Load Testing

Metrics are used in knowing the performance of load testing under different circumstances. It tells how accurately the load testing is working under different test cases. It is usually carried out after the preparation of load test scripts/cases. There are many metrics to evaluate the load testing. Some of them are listed below....

Load Testing Tools

Apache Jmeter WebLoad NeoLoad LoadNinja HP Performance Tester LoadUI Pro LoadView...

Advantages of Load Testing

Load testing has several advantages that make it an important aspect of software testing:...

Disadvantages of Load Testing

To perform load testing there in need of programming knowledge. Load testing tools can be costly. Load testing also has some disadvantages, which include:...