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Self-learning performance management: the use of technology to help automate the performance management of information technology systems. This is done through the use of software that employs applied mathematics (such as statistics , time series analysis, and forecasting ), automated baselining , neural networks , pattern recognition , and ...
The term performance engineering encompasses more than just the software and supporting infrastructure, and as such the term performance engineering is preferable from a macro view. Adherence to the non-functional requirements is also validated post-deployment by monitoring the production systems.
In the fields of information technology and systems management, application performance management (APM) is the monitoring and management of the performance and availability of software applications. APM strives to detect and diagnose complex application performance problems to maintain an expected level of service .
ISO/IEC/IEEE 12207 Systems and software engineering – Software life cycle processes [1] is an international standard for software lifecycle processes. First introduced in 1995, it aims to be a primary standard that defines all the processes required for developing and maintaining software systems, including the outcomes and/or activities of each process.
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The ISO/IEC 15288 Systems and software engineering — System life cycle processes is a technical standard in systems engineering which covers processes and lifecycle stages, developed by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC). Planning for the ISO/IEC 15288:2002(E ...
See Performance Engineering for more details. However, performance testing is frequently not performed against a specification; e.g., no one will have expressed what the maximum acceptable response time for a given population of users should be. Performance testing is frequently used as part of the process of performance profile tuning.
Application performance engineering attempts to test software before it is published. [2] [full citation needed] While practices vary among organizations, the method attempts to emulate the real-world conditions that software in development will confront, including network deployment and access by mobile devices.
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