Home Software testing 4 Key Factors to Consider in Performance Testing of Ecommerce Applications

4 Key Factors to Consider in Performance Testing of Ecommerce Applications

by Stephen R.
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performance testing ecommerce

If the application does not provide optimum performance, it would not help in attracting and retaining the potential audience.

The targeted customers will move to the other location, as the app has an excessive loading time.

If you lose potential audience, it will lead to a loss of revenue. Hence, developing the poor quality of software can burn a huge cut-off from the pocket.

Building a solid software foundation is crucial to generate software success. As the basic software functions performance is measured, it provides an opportunity to the business leaders in creating the vital decisions around the software setup.

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Stability, accuracy, performance speed measurement is a crucial aspect of performance testing.

It provides a suitable option in tackling the software components. In addition to this, performance testing plays an integral role in recognizing the discrepancies, thereby resolving the problems.

This kind of software testing provides a suitable choice in keeping the potential audience happy.

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Another primary advantage of performance testing is the capabilities of improving the load capacity and optimization.

In this article, you will find information about the different factors which are considered during the performance testing of different eCommerce apps.

Identifying performance acceptance criteria

This step includes the estimation and recognition of the software app’s performance characteristics.

It begins with the notion of different performance parameters which are generated by the stakeholders’ performance.

The primary characteristics of stable performance are known to be resource utilization, response time, and throughput.

Also to Read More About: Performance Testing of Mobile Applications

Certain factors which should be considered for the recognition of the performance acceptance criteria are inclusive of anticipated load conditions, workload models, resource utilization limits, service levels agreements (SLAs), expectations of the potential audience, business obligations and requirements, scalability and safety, goals of the optimization, competing applications, past releases, to name a few.

Identification of Test environments

In this part, it is essential to recognize the physical test and production environment for the specific software app.

It involves the recognition of different resources and tools which are available to the software testing team.

The tools, environments, and resources involve the network, software and hardware settings and configuration.

Therefore, it is a prerequisite to understanding the specific test environment, which facilitates improved test design and planning.

Furthermore, it is a prerequisite to review the identification process periodically during the software testing process.

Certain factors which should be considered during test environment identification include load balancing, levels of logging, software licenses, software installed, Domain Name System Configuration, Network Architecture and user location, machine and hardware configurations, type and volume of the network traffic, updates, backup and scheduled processes, interaction with the external systems.

Designing and planning the tests

As you plan and design the test to quantify the specific performance characteristics, it is essential to create real-world simulations.

It will produce useful and relevant results, which will provide a suitable option to the business enterprise in making informed decisions for the business.

If it is not the prerequisite test objective, it is essential to explicitly determine the most valuable usage scenarios.

Different parameters that should be taken into account to execute performance testing include technical usage scenario, performance-critical usage scenarios, most common usage scenarios, usage scenarios implied by different testing objectives, and obligated usage scenario, high visibility usage scenario, stakeholder usage scenario, to name a few.

There are risks that a plethora of problems will arise from the server operating systems, hardware, network, and software compatibility.

It is essential to start the configuration of the test environment at an earlier phase. In addition to this, it is essential to carry the periodic updates, reconfiguration, and enhancements during the project lifecycle.

Certain factors which should be considered during the configuration of the test environment are inclusive of the load distribution validation by the monitoring of different resource utilization across different servers, validation and verification of the load testing accuracy against different server clusters, load testing accuracy validation against various hardware components, systems clocks synchronization verifications, determination of the maximum load, which gets generated before the reaching of the load bottleneck.

Load testing services is one of the primary aspects to execute performance testing.

Test Design Implementation

The primary challenge in performance testing is the execution of the real test with the simulated data in the specific manner that the application which gets tested cannot find the difference between the simulated data and real data.

Different factors which should be considered for test design implementation includes the validation and verification of different key performance indicators, assuring the correct handling of special data and hidden information fields, evaluation of generated results against the expected, consideration of the script for matching the designed test, assuring the variables population for the request parameters, assuring the prerequisite handling of hidden information fields and unique data.

The test execution

The test cases execution process depends on the prerequisite resources, tools, and the environment.

The combination of the tasks includes the execution tests, configuration, tests and the data environment validation and verification, the tests execution coordination, logging activity times for the prerequisite identification, archiving the test data, test, test results and the relevant info.

Different parameters which should be taken into account during the performance of the tests include the validation and verification of data’s correct values for the business scenario realistic simulation, the test execution validation for complete data, execution of the similar tests many times for the determination of the factors, which account for the prerequisite difference, limiting and reviewing the prerequisite test execution after every cycle, to name a few.

The ultimate objective of the execution of the tests is not only about the results. It is a prerequisite to derive the conclusions along with the prerequisite consolidated data, thereby offering support to the conclusions.

Such a process needs comparisons, analysis, and reporting. Different crucial factors, which should be taken into account include:

  • The data analysis collectively and individually.
  • Comparing and analysis of results for the determination of outward and inward trends of the specific AUT.
  • Sharing the test results and creating raw data available to the team, consolidation, and summary of the data effectively.

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