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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]
Cost estimation in software engineering is typically concerned with the financial spend on the effort to develop and test the software, this can also include requirements review, maintenance, training, managing and buying extra equipment, servers and software. Many methods have been developed for estimating software costs for a given project.
Agile software development methods have been used in non-development IT infrastructure deployments and migrations. Some of the wider principles of agile software development have also found application in general management [134] (e.g., strategy, governance, risk, finance) under the terms business agility or agile business
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.
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.
[1] [2] The trend towards agile methods in software engineering is noticeable, [3] however the need for improved studies on the subject is also paramount. [4] [5] Also note that some of the methods listed might be newer or older or still in use or out-dated, and the research on software design methods is not new and on-going. [6] [7] [8] [9]
Evidence-based scheduling is a software estimation approach created by Joel Spolsky, a commentator on software engineering principles. Evidence-based Scheduling is based on at least two core ideas: including all time spent, and using a Monte Carlo completion date prediction method. Evidence-based scheduling is an example of an evidence-based ...
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 ...