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Network virtualization may be used in application development and testing to mimic real-world hardware and system software. In application performance engineering, network virtualization enables emulation of connections between applications, services, dependencies, and end users for software testing.
In project management it is a method comparable to PRINCE2 and describes methods for project management as well as methods for system development. The V-model, while rigid in process, can be very flexible in application, especially as it pertains to the scope outside of the realm of the System Development Lifecycle normal parameters.
In October 2012, a group of telecom operators published a white paper [4] at a conference in Darmstadt, Germany, on software-defined networking (SDN) and OpenFlow.The Call for Action concluding the White Paper led to the creation of the Network Functions Virtualization (NFV) Industry Specification Group (ISG) [5] within the European Telecommunications Standards Institute (ETSI).
In software engineering, containerization is operating-system–level virtualization or application-level virtualization over multiple network resources so that software applications can run in isolated user spaces called containers in any cloud or non-cloud environment, regardless of type or vendor. [1]
Software engineering is a branch of both computer science and engineering focused on designing, developing, testing, and maintaining software applications. It involves applying engineering principles and computer programming expertise to develop software systems that meet user needs.
The first step in the evolution from stubbing to service virtualization was the technology packaged in SOA testing tools since 2002. [11] The earliest implementations of service virtualization were designed to automate the process of developing simple stub-like emulations so that composite applications could be tested more efficiently. [12]
ISO/IEC/IEEE 29119 Software and systems engineering -- Software testing [1] is a series of five international standards for software testing.First developed in 2007 [2] and released in 2013, the standard "defines vocabulary, processes, documentation, techniques, and a process assessment model for testing that can be used within any software development lifecycle."
Strategies for increasing test environment stability include virtualization software (for dependencies your organization can control and image) service virtualization (for dependencies beyond your scope of control or unsuitable for imaging), and test data management. [1] [4] [10] [25]