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In IT operations, software performance management is the subset of tools and processes in IT Operations which deals with the collection, monitoring, and analysis of performance metrics. These metrics can indicate to IT staff whether a system component is up and running (available), or that the component is behaving in an abnormal way that would ...
Functionality, usability, reliability, performance and supportability are together referred to as FURPS in relation to software requirements. Agility in working software is an aggregation of seven architecturally sensitive attributes: debuggability, extensibility, portability, scalability, securability, testability and understandability.
System software is a generic term referring to the computer programs used to start and run computer systems including diverse application software and networks. Computer programming tools , such as compilers and linkers , are used to translate and combine computer program source code and libraries into executables , which are programs that fall ...
This view of software quality being positioned on a linear continuum is supplemented by the analysis of "critical programming errors" that under specific circumstances can lead to catastrophic outages or performance degradations that make a given system unsuitable for use regardless of rating based on aggregated measurements.
The performance of any computer system can be evaluated in measurable, technical terms, using one or more of the metrics listed above. This way the performance can be Compared relative to other systems or the same system before/after changes; In absolute terms, e.g. for fulfilling a contractual obligation
Performance measurement is the process of collecting, analyzing and/or reporting information regarding the performance of an individual, group, organization, system or component. [dubious – discuss] [1] Definitions of performance measurement tend to be predicated upon an assumption about why the performance is being measured. [2]
It can demonstrate that the system meets performance criteria. It can compare two systems to find which performs better. It can measure which parts of the system or workload cause the system to perform badly. Many performance tests are undertaken without setting sufficiently realistic, goal-oriented performance goals.
The second set of performance metrics measures the computational resources used by the application for the load, indicating whether there is adequate capacity to support the load, as well as possible locations of a performance bottleneck. Measurement of these quantities establishes an empirical performance baseline for the application.