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Planning poker is a variation of the Wideband delphi method. It is most commonly used in agile software development, in particular in Scrum and Extreme Programming. 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 estimation approaches based on functionality-based size measures, e.g., function points, is also based on research conducted in the 1970s and 1980s, but are re-calibrated with modified size measures and different counting approaches, such as the use case points [11] or object points and COSMIC Function Points in the 1990s.
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.
The Use Case Points method (UCP) Weighted Micro Function Points (WMFP) Wideband Delphi; Most cost software development estimation techniques involve estimating or measuring software size first and then applying some knowledge of historical of cost per unit of size. Software size is typically sized in SLOC, Function Point or Agile story points.
The Wideband Delphi estimation method is a consensus-based technique for estimating effort. [1] It derives from the Delphi method which was developed in the 1950-1960s at the RAND Corporation as a forecasting tool. It has since been adapted across many industries to estimate many kinds of tasks, ranging from statistical data collection results ...
It was first used extensively with the dynamic systems development method (DSDM) [2] from 2002. MoSCoW is often used with timeboxing, where a deadline is fixed so that the focus must be on the most important requirements, and is commonly used in agile software development approaches such as Scrum, rapid application development (RAD), and DSDM.
COCOMO II is the successor of COCOMO 81 and is claimed to be better suited for estimating modern software development projects; providing support for more recent software development processes and was tuned using a larger database of 161 projects. The need for the new model came as software development technology moved from mainframe and ...
These values are used to calculate an E value for the estimate and a standard deviation (SD) as L-estimators, where: E = (a + 4m + b) / 6 SD = (b − a) / 6. E is a weighted average which takes into account both the most optimistic and most pessimistic estimates provided. SD measures the variability or uncertainty in the estimate.
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