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Reliability for software is a number between 0 and 1. Reliability increases when errors or bugs from the program are removed. [7] There are many software reliability growth models (SRGM) (List of software reliability models) including, logarithmic, polynomial, exponential, power, and S-shaped
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.
Reliability engineering is a sub-discipline of systems engineering that emphasizes the ability of equipment to function without failure. Reliability is defined as the probability that a product, system, or service will perform its intended function adequately for a specified period of time, OR will operate in a defined environment without failure. [1]
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]
ISO/IEC 9126 Software engineering — Product quality was an international standard for the evaluation of software quality.It has been replaced by ISO/IEC 25010:2011. [1]The quality criteria according to ISO 9126
Software testing is an activity to investigate software under test in order to provide quality-related information to stakeholders. By contrast, QA ( quality assurance ) is the implementation of policies and procedures intended to prevent defects from reaching customers.
Reliability, availability and serviceability (RAS), also known as reliability, availability, and maintainability (RAM), is a computer hardware engineering term involving reliability engineering, high availability, and serviceability design. The phrase was originally used by IBM as a term to describe the robustness of their mainframe computers.
ISVV goes beyond "traditional" verification and validation techniques, applied by development teams. While the latter aims to ensure that the software performs well against the nominal requirements, ISVV is focused on non-functional requirements such as robustness and reliability, and on conditions that can lead the software to fail.