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It is mostly used in Scrum terminology where the work is planned in terms of features (or stories). For example, as a very basic approach, a software project may consist of three layers (or components): Data access layer (bottom) Business logic layer (middle) User interface layer (top) In this common approach, a vertical slice means a bit of ...
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]
Card sorting is a technique in user experience design in which a person tests a group of subject experts or users to generate a dendrogram (category tree) or folksonomy. It is a useful approach for designing information architecture, workflows, menu structure, or web site navigation paths. Card sorting uses a relatively low-tech approach.
The Fowler style can also be viewed as a simplified variant of the Cockburn template. This variant is called a user story. Alistair Cockburn stated: [27] Think of a User Story as a Use Case at 2 bits of precision. Bit 1 of precision names the goal of the use case, and Bit 2 adds the main scenario.
For the Online Shopping System, the total estimated size to develop the software is 125.06 Use Case Points. Now that the size of the project is known, the total effort for the project can be estimated. For the Online Shopping System example, 28 man hours per use case point will be used. Estimated Effort = UCP x Hours/UCP
The method includes the identification and weighting of user recognizable inputs, outputs and data stores. The size value is then available for use in conjunction with numerous measures to quantify and to evaluate software delivery and performance (development cost per function point; delivered defects per function point; function points per ...
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The logical data structure is converted into a physical architecture in terms of database structures. The exact structure of the functions and how they are implemented is specified. The physical data structure is optimized where necessary to meet size and performance requirements.