The importance of performance testing is to make sure is to make sure that the web application is able to perform acceptably at peak usage.
The data that is used in performance testing represents data that affects or is affected by the execution of the specific module. If the data used in software performance testing is well planned, it will surely determine and be vital towards the success of the Performance testing exercise. The goal behind performance testing is to eliminate bottlenecks.
The data used should be as close to ‘real’ or ‘live’ data used in production environment. Not only testers but customers to play a good role to determine the kind of data that can be used to run these tests. In case, we are working in maintenance testing project, we can simply copy or replicate the data used in production environment to our testing bed.
Trying to scramble the data is also a good practice. A well planned performance test data plays a key role in saving time and also, reduce misleading result and execution errors.
Undoubtedly data planning for the software performance testing is a vital step. In today’s world there are a lot of different type of apps available to different type of users throughout world – bankers, students, travelers. Applications will have to adapt smartly for the users, the effectiveness of a Load test will solely depend on the data and scenario that were simulated during test. For example while testing a university network one will have to arrange data in a way that it matches to the real time load i.e. the ratio of the instructors and students present at the same time.
It depends upon the test data used and not just any data, but ‘real’ or ‘live’ data that matches up with the real world scenarios. The actual test data is planned based in accordance with the scenarios we want to test and what workarounds are present in which an error can occur. Poorly designed testing data may not test all possible test scenarios which will degrade the quality testing.
Points to ponder:
1) In performance testing, we have an objective to find the bottlenecks in the application that will hamper the interests of its end customer. So to manage it we need to assess an appropriate generic plan and test data that will cater to all or most of the scenarios, an end user might face.
2) Data planning ensures valid test data is available in an organized, secure, consistent and controlled manner.
3) Data planning gives the performance tester an upper hand, as he can control the flow of data in and out with respect to the scenario.
For data planning of performance testing of a system, one needs to plan and design the performance tests involved in recognizing important usage settings, choosing suitable unpredictability among consumers, creating test data, and stipulating the metrics to be collected. In the end, these would lay the foundation for workloads and workload profiles.
Tests are planned and designed for the purpose of illustrating the performance of production, the objective should be to simulate real-world scenarios so as to offer steadfast data which will empower your organization to calculate well-versed business assessments. The importance and helpfulness of outcomes can be amplified significantly by Real-world test design.
During the course of recognizing the selected performance characteristics of the application, key usage situations for the application typically get revealed. If this is not observed, then one needs to openly define the usage situations for the test project that are the most important to script.
Undoubtedly data planning for the software performance testing is a vital step. If the data used in software performance testing is well planned, it will surely determine and be vital towards the success of the Performance testing exercise.