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For reliability testing, data is gathered from various stages of development, such as the design and operating stages. The tests are limited due to restrictions such as cost and time restrictions. Statistical samples are obtained from the software products to test for the reliability of the software.
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]
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.
The equipment under test must be monitored so that if the equipment fails under test, the failure is detected. Monitoring is typically performed with thermocouple sensors, vibration accelerometers, multimeters and data loggers. Common causes of failures during HALT are poor product design, workmanship, and poor manufacturing.
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]
An engineering verification test (EVT) is performed on first engineering prototypes, to ensure that the basic unit performs to design goals and specifications. [1] Verification ensures that designs meets requirements and specification while validation ensures that created entity meets the user needs and objectives.
Development of system requirements that minimize the likelihood of failures. Development of designs and test systems to ensure that the failures have been eliminated or the risk is reduced to acceptable level. Development and evaluation of diagnostic systems. To help with design choices (trade-off analysis).
V-Model – model, which defines the software development lifecycle and test process. ISO 9000 – family of standards is related to quality management systems and designed to help organizations ensure that they meet the needs of customers and other stakeholders[1] while meeting statutory and regulatory requirements related to the product.