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  2. Use case points - Wikipedia

    en.wikipedia.org/wiki/Use_Case_Points

    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

  3. Planning poker - Wikipedia

    en.wikipedia.org/wiki/Planning_poker

    Agile software development methods recommend the use of Planning Poker for estimating the size of user stories and developing release and iteration plans. [ 1 ] The method was first defined and named by James Grenning in 2002 [ 2 ] and later popularized by Mike Cohn in the book Agile Estimating and Planning , [ 3 ] whose company trade marked ...

  4. Software development effort estimation - Wikipedia

    en.wikipedia.org/wiki/Software_development...

    Software researchers and practitioners have been addressing the problems of effort estimation for software development projects since at least the 1960s; see, e.g., work by Farr [8] [9] and Nelson. [10] Most of the research has focused on the construction of formal software effort estimation models.

  5. User story - Wikipedia

    en.wikipedia.org/wiki/User_story

    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 ]

  6. Software sizing - Wikipedia

    en.wikipedia.org/wiki/Software_Sizing

    Software sizing or software size estimation is an activity in software engineering that is used to determine or estimate the size of a software application or component in order to be able to implement other software project management activities (such as estimating or tracking).

  7. Function point - Wikipedia

    en.wikipedia.org/wiki/Function_point

    Function points were defined in 1979 in Measuring Application Development Productivity by Allan J. Albrecht at IBM. [4] The functional user requirements of the software are identified and each one is categorized into one of five types: outputs, inquiries, inputs, internal files, and external interfaces.

  8. Extreme programming practices - Wikipedia

    en.wikipedia.org/wiki/Extreme_Programming_Practices

    Sort by Value: Business sorts the user stories by Business Value. Sort by Risk: Development sorts the stories by risk. Set Velocity: Development determines at what speed they can perform. Choose scope: The user stories that will be finished in the next release will be picked. Based on the user stories the release date is determined.

  9. INVEST (mnemonic) - Wikipedia

    en.wikipedia.org/wiki/INVEST_(mnemonic)

    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.