System testing

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title: "System testing" type: doc version: 1 created: 2026-02-28 author: "Wikipedia contributors" status: active scope: public tags: ["software-testing", "hardware-testing", "systems-engineering"] description: "Testing conducted on a complete software system" topic_path: "technology/software-engineering" source: "https://en.wikipedia.org/wiki/System_testing" license: "CC BY-SA 4.0" wikipedia_page_id: 0 wikipedia_revision_id: 0

::summary Testing conducted on a complete software system ::

System testing, a.k.a. end-to-end (E2E) testing, is testing conducted on a complete software system.

System testing describes testing at the system level to contrast to testing at the system integration, integration or unit level.

System testing often serves the purpose of evaluating the system's compliance with its specified requirements often from a functional requirement specification (FRS), a system requirement specification (SRS), another type of specification or multiple.

System testing can detect defects in the system as a whole.

System testing can verify the design, the behavior and even the believed expectations of the customer. It is also intended to test up to and beyond the bounds of specified software and hardware requirements.

Approaches

• Destructive testing: tests are carried out to the specimen's failure, in order to understand a specimen's performance or material behaviour under different loads.
• Nondestructive testing: analysis techniques to evaluate the properties of a material, component or system without causing damage.
• Fault injection: A testing technique which stress the system in an unusual way to examine the system behavior.

Notes

References

de:Softwaretest#Systemtest

References

1. "ISTQB Standard glossary of terms used in Software Testing".
2. (2019). "Cyber Physical Systems. Model-Based Design". Springer International Publishing.
3. (22 July 2019). "Optimizing fault injection in FMI co-simulation through sensitivity partitioning {{!}} Proceedings of the 2019 Summer Simulation Conference".
4. Moradi, Mehrdad, Bentley James Oakes, Mustafa Saraoglu, Andrey Morozov, Klaus Janschek, and Joachim Denil. "Exploring Fault Parameter Space Using Reinforcement Learning-based Fault Injection." (2020).

::callout[type=info title="Wikipedia Source"] This article was imported from Wikipedia and is available under the Creative Commons Attribution-ShareAlike 4.0 License. Content has been adapted to SurfDoc format. Original contributors can be found on the article history page. ::