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In software development and product management, a user story is an informal, natural language description of features of a software system. They are written from the perspective of an end user or user of a system , and may be recorded on index cards, Post-it notes , or digitally in specific management software. [ 1 ]
Use case points (UCP or UCPs) is a software estimation technique used to forecast the software size for software development projects. UCP is used when the Unified Modeling Language (UML) and Rational Unified Process (RUP) methodologies are being used for the software design and development.
Experience architecture (XA) is the art of articulating a clear user story/journey through an information architecture, interaction design and experience design that an end user navigates across products and services offered by the client or as intended by the designer. This visual representation is intended not only to highlight the systems ...
Other software sizing methods include Use Case-based software sizing, which relies on counting the number and characteristics of use cases found in a piece of software, and COSMIC functional size measurement, which addresses sizing software that has a very limited amount of stored data such as 'process control' and 'real time' systems.
User design phase – during this phase, users interact with systems analysts and develop models and prototypes that represent all system processes, inputs, and outputs. The RAD groups or subgroups typically use a combination of joint application design (JAD) techniques and CASE tools to translate user needs into working models.
The INVEST mnemonic for Agile software development projects was created by Bill Wake [1] as a reminder of the characteristics of a good quality Product Backlog Item (commonly written in user story format, but not required to be) or PBI for short. Such PBIs may be used in a Scrum backlog, Kanban board or XP project.
One of the architecture techniques is the split between managing transaction data and (master) reference data. Another is splitting data capture systems from data retrieval systems (as done in a data warehouse). Technology drivers These are usually suggested by the completed data architecture and database architecture designs.
A set of architectural design decisions: software architecture should not be considered merely a set of models or structures, but should include the decisions that lead to these particular structures, and the rationale behind them. [10] This insight has led to substantial research into software architecture knowledge management. [11]