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FURPS is an acronym representing a model for classifying software quality attributes (functional and non-functional requirements): Functionality - capability (size and generality of feature set), reusability (compatibility, interoperability, portability), security (safety and exploitability)
Within systems engineering, quality attributes are realized non-functional requirements used to evaluate the performance of a system. These are sometimes named architecture characteristics, or "ilities" after the suffix many of the words share. They are usually architecturally significant requirements that require architects' attention. [1]
Broadly, functional requirements define what a system is supposed to do and non-functional requirements define how a system is supposed to be.Functional requirements are usually in the form of "system shall do <requirement>", an individual action or part of the system, perhaps explicitly in the sense of a mathematical function, a black box description input, output, process and control ...
Like all non-functional requirements and quality attributes, [6] architecturally significant requirements should be specified SMART. Quality attribute scenarios [2] are one way to achieve the S (specific) and the M (measured) criteria in SMART. The Software Engineering Institute recommends Quality Attribute Workshops for this effort. [7]
Software's functional quality reflects how well it complies with or conforms to a given design, based on functional requirements or specifications. [1] That attribute can also be described as the fitness for the purpose of a piece of software or how it compares to competitors in the marketplace as a worthwhile product. [2]
Functional requirements are supported by non-functional requirements (also known as "quality requirements"), which impose constraints on the design or implementation (such as performance requirements, security, or reliability). Generally, functional requirements are expressed in the form "system must do <requirement>," while non-functional ...
Axiomatic design is a systems design methodology using matrix methods to systematically analyze the transformation of customer needs into functional requirements, design parameters, and process variables. [1] Specifically, a set of functional requirements(FRs) are related to a set of design parameters (DPs) by a Design Matrix A:
For example, a non-functional requirement to be free from backdoors may be satisfied by replacing it with a process requirement to use pair programming. Other non-functional requirements will trace to other system components and be verified at that level. For example, system reliability is often verified by analysis at the system level.