Stress testing

From Wikipedia, the free encyclopedia

Stress testing is a form of testing that is used to determine the stability of a given system or entity. It involves testing beyond normal operational capacity, often to a breaking point, in order to observe the results. Stress testing may have a more specific meaning in certain industries.


Contents

Main article: Stress testing (software)

In software testing, stress testing often refers to tests that put a greater emphasis on robustness, availability, and error handling under a heavy load, than on what would be considered correct behavior under normal circumstances. In particular, the goals of such tests may be to ensure the software doesn't crash in conditions of insufficient computational resources (such as memory or disk space), unusually high concurrency, or denial of service attacks.

Examples:


  • A Cardiac stress test is used most commonly to detect marked imbalances in blood flow to the heart muscle.


  • Instead of doing financial projection on a "best estimate" basis, a company may do stress testing where they look at how robust a financial instrument is in certain crashes. They may test the instrument under, for example, the following stresses:
    • What happens if the market crashes by more than x% this year?
    • What happens if interest rates go up by at least y%?
    • What if half the instruments in the portfolio terminate their contacts in the 5th year?
    • What happens if oil prices rise by 200%?

This type of analysis has become increasingly widespread, and has been taken up by various governmental bodies (such as the FSA in the UK) as a regulatory requirement on certain financial institutions to ensure adequate capital allocation levels to cover potential losses incurred during extreme, but plausible, events. This emphasis on adequate, risk adjusted determination of capital has been further enhanced by modifications to banking regulations such as Basel II. Stress testing models typically allow not only the testing of individual stressors, but also combinations of different events. There is also usually the ability to test the current exposure to a known historical scenario (such as the Russian debt default in 1998 or 9/11 terrorist attacks) to ensure the liquidity of the institution.

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