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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.
Productivity is the Process Productivity, the ability of a particular software organization to produce software of a given size at a particular defect rate. Effort is the total effort applied to the project in person-years. Time is the total schedule of the project in years.
Programming productivity (also called software productivity or development productivity) describes the degree of the ability of individual programmers or development teams to build and evolve software systems. Productivity traditionally refers to the ratio between the quantity of software produced and the cost spent for it.
In particular, LOC is a poor productivity measure of individuals, because a developer who develops only a few lines may still be more productive than a developer creating more lines of code – even more: some good refactoring like "extract method" to get rid of redundant code and keep it clean will mostly reduce the lines of code.
This course, much like a productivity MBA, teaches time management, debunks productivity myths and helps find your success formula. The Productivity Masterclass is a holistic course designed to ...
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. Once the function is identified and ...
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 ...
It is useful for predicting when all of the work will be completed. It is often used in agile software development methodologies such as Scrum. However, burndown charts can be applied to any project containing measurable progress over time. Remaining work can be represented in terms of either time or story points (a sort of arbitrary unit). [2]
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