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In software development, effort estimation is the process of predicting the most realistic amount of effort (expressed in terms of person-hours or money) required to develop or maintain software based on incomplete, uncertain and noisy input. Effort estimates may be used as input to project plans, iteration plans, budgets, investment analyses ...
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 Mythical Man-Month. The Mythical Man-Month: Essays on Software Engineering is a book on software engineering and project management by Fred Brooks first published in 1975, with subsequent editions in 1982 and 1995. Its central theme is that adding manpower to a software project that is behind schedule delays it even longer.
The Putnam model is an empirical software effort estimation model. [1] The original paper by Lawrence H. Putnam published in 1978 is seen as pioneering work in the field of software process modelling. [2] As a group, empirical models work by collecting software project data (for example, effort and size) and fitting a curve to the data.
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 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 the term ...
SEER for Software (SEER-SEM) is composed of a group of models working together to provide estimates of effort, duration, staffing, and defects. These models can be briefly described by the questions they answer: Sizing. How large is the software project being estimated (Lines of Code, Function Points, Use Cases, etc.) Technology.
Halstead complexity measures. Halstead complexity measures are software metrics introduced by Maurice Howard Halstead in 1977 [1] as part of his treatise on establishing an empirical science of software development. Halstead made the observation that metrics of the software should reflect the implementation or expression of algorithms in ...