Load testing generally enables one to measure response times of a software system or computing device when demand is put on either of them. To quickly validate any given software’s usage, load testing is applied. It can, however, be used concurrently with software performance testing and volume testing. Its relevance is mostly for multi-user systems where one of the systems is built using a server model with web servers being a good example.

Load testing can be utilized on various software system types such as a word processor that can read a large document or a financial package that can produce a lot of data at once. It is more accurate in actual use than on theory of analysis of whatever model. When generating a load testing report, hardware and software statistics which includes the memory, throughput of the system under test and the CPU will be monitored and collected by the conductor.

Load test plan specifications vary from one organization to the other depending on the number of virtual users or activities involved. However, they all aim at achieving the same goal of simulating a system performance of different volumes and peak flows. The pass or fail criteria of a load test is different across organizations as well as there are no acceptable standards specified.

Load testing tools should be capable of analyzing the entire OSI protocol stack. However, there is a widespread misconception that it provides records as regression testing tools do. It’s, therefore, important for a person to differentiate the two. The traditional load testing tools available includes application servers, database servers, client-side processing, networking and load balancing where multiple servers are involved. If an application is subjected to a service level agreement, load testing is entirely applicable. Tools that are available include things like Dotcom-Monitor and HP’s LoadRunner.

In a more technical language, load testing can only be applied to a project that is almost at the end of its production cycle. Also, an actual user engagement should be accurately simulated and put to the test. Software engineering, load testing expertise or even much more is needed for one to analyze load testing reports accurately. Experience in the sector cannot be overlooked; it’s vital!