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Software as a service (SaaS / s æ s / [1]) is a cloud computing service model where the provider offers use of application software to a client and manages all needed physical and software resources. [2] SaaS is usually accessed via a web application. Unlike other software delivery models, it separates "the possession and ownership of software ...
The Twelve-Factor App methodology is a methodology for building software-as-a-service applications. These best practices are designed to enable applications to be built with portability and resilience when deployed to the web. [1]
If a software product is offered as Hybrid SaaS [1] or Hybrid Cloud, [2] it means that it combines elements of both Software-as-a-Service (SaaS) and on-premises software deployment models. In the case of a hybrid model, the software product offers a combination of cloud-based SaaS functionality and on-premises capabilities.
Cloud computing architecture refers to the components and subcomponents required for cloud computing. These components typically consist of a front end platform (fat client, thin client, mobile), back end platforms (servers, storage), a cloud based delivery, and a network (Internet, Intranet, Intercloud).
Development, testing, acceptance and production (DTAP) [1] [2] is a phased approach to software testing and deployment. The four letters in DTAP denote the following common steps: Development: The program or component is developed on a development system. This development environment might have no testing capabilities.
The deployment of enterprise software involves many more roles, and those roles typically change as the application progresses from the test (pre-production) to production environments. Typical roles involved in software deployments for enterprise applications may include: in pre-production environments:
Architectural Model contains a definition of an architectural model from the University of Ottawa's Object Oriented Software Engineering database. Architectural Tradeoff Analysis Method (ATAM) is a method by which architecture can be evaluated for suitability and fit to requirements.
Model-based testing is an application of model-based design for designing and optionally also executing artifacts to perform software testing or system testing. Models can be used to represent the desired behavior of a system under test (SUT), or to represent testing strategies and a test environment.