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In software engineering and development, a software metric is a standard of measure of a degree to which a software system or process possesses some property. [1] [2] Even if a metric is not a measurement (metrics are functions, while measurements are the numbers obtained by the application of metrics), often the two terms are used as synonyms.
The quality control team tests and reviews software at its various stages to ensure quality assurance processes and standards at both the organizational and project level are being followed. [ 1 ] [ 2 ] (Some like Sommerville link these responsibilities to quality assurance rather than call it quality control. [ 3 ] )
It is distinct from software quality assurance which encompasses processes and standards for ongoing maintenance of high quality of products, e.g. software deliverables, documentation and processes - avoiding defects. Whereas software quality control is a validation of artifacts compliance against established criteria - finding defects.
Software quality is the "capability of a software product to conform to requirements." [36] [37] while for others it can be synonymous with customer- or value-creation [38] [39] or even defect level. [40]
GQM defines a measurement model on three levels: [7]. 1. Conceptual level (Goal) A goal is defined for an object, for a variety of reasons, with respect to various models of quality, from various points of view and relative to a particular environment.
Software quality assurance (SQA) is a means and practice of monitoring all software engineering processes, methods, and work products to ensure compliance against defined standards. [1] It may include ensuring conformance to standards or models, such as ISO/IEC 9126 (now superseded by ISO 25010), SPICE or CMMI .
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.
For example, software analytics tools allow users to map derived analysis results by means of software maps, which support interactively exploring system artifacts and correlated software metrics. There are also software analytics tools using analytical technologies on top of software quality models in agile software development companies ...