Performance Testing at any stage of the Software Development Life Cycle (SDLC), can comprise of several well-established test scenarios. Each designed to highlight weak points to stresses, scalability, and user environmental changes. Identify future bottlenecks and save on costly reworks with insights into every aspect of your projects performance, by creating the most predictable and reliable outcomes possible.
This non-functional performance test also referred as flood testing, is the process where by which software is subjected to huge volumes of data increases in the database. This highlights future requirements with regards to scalability and data integrity management.
A deliberately intense testing designed to cause an overload of software or software system, with the goal of producing errors. Having a predictable model range will give you an understanding of how your system will perform should the user expectation exceed your predictions. We ask, what happens if your company growth is 2x or 3x over expectation and staff doubles or your app goes viral? Having an idea of breaking points can give you actionable predictions for cost, time, and manpower required during increases in your user base.
Since no two users, companies, or departments are the same, it would be reasonable to assume that all projects will span a range platforms, devices, OS and Hardware configurations. Configuration Testing allows you to test a specified range of environments for purposes such as global distribution, project migration, and cross-platform collaboration.
Sometimes known as Stability Testing, it is designed to perform behavioral analysis to your software whilst under specific normal and expected peak system loads. This helps to identify any bottlenecks and determine which element is causing degradation, as well as finding the maximum operating capacity of an application. This differs from Stress Testing, which is designed to push the software to break point and errors are expected.
It does not always follow that a perfectly performing project in one country, will naturally convert to another. Localization takes into account several factors including;
Compatibility with regional laws, regulations, and standards
Native Usability with linguistic and culture
We deliver Usability Testing, Interface Testing, and Functional Testing in language specific ecosystems. Localization directly increases adoption, RIO, and it is well documented to dramatically increase factors such as downloads and retention.