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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.
A sample burndown chart for a completed iteration. It will show the remaining effort and tasks for each of the 21 work days of the 1-month iteration. A burndown chart or burn-down chart is a graphical representation of work left to do versus time. [1] The outstanding work (or backlog) is often on the vertical axis, with time along the horizontal.
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.
Three levels are the minimum recommended, with additional levels for and only for items of high cost or high risk, [25] and two levels of detail at cases such as systems engineering or program management, [26] with the standard showing examples of WBS with varying depth such as software development at points going to 5 levels [27] or fire ...
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 ...
The Putnam model is an empirical software effort estimation model [1] created by Lawrence H. Putnam in 1978. Measurements of a software project is collected (e.g., effort in man-years, elapsed time, and lines of code) and an equation fitted to the data using regression analysis .
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