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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.
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. Future effort estimates are made by providing size and calculating the associated effort using the equation which fit the original data (usually with some error).
The analysis effort method is a method for estimating the duration of software engineering projects. [1] It is best suited to producing initial estimates for the length of a job based on a known time duration for preparing a specification. Inputs to the method are numeric factors which indicate Size (S), Familiarity (F) and Complexity (C).
The first meeting is the kickoff meeting, during which the estimation team creates a work breakdown structure (WBS) and discusses assumptions. After the meeting, each team member creates an effort estimate for each task. The second meeting is the estimation session, in which the team revises the estimates as a group and achieves consensus.
How should activities and labor be allocated into the estimate? Cost Calculation. Given expected effort, duration, and the labor allocation, how much will the project cost? Defect Calculation. Given product type, project duration, and other information, what is the expected, objective quality of the delivered software? Maintenance Effort ...
The effort measure translates into actual coding time using the following relation, Time required to program: T = E 18 {\displaystyle T={E \over 18}} seconds Halstead's delivered bugs (B) is an estimate for the number of errors in the implementation.
The duration (5.33 work days) is subtracted from the LF to get an LS of 3.84 work days. The LF for a is the minimum LS of its successor activities. Since c has an LS of 4 work days and d has an LS of 8.68 work days, the LF for a is 4 work days. The duration (4 work days) is subtracted from the LF to get an LS of 0 work days.
The work effort for each task is estimated and those estimates are rolled up into the final deliverable estimate. The tasks are also prioritized, dependencies between tasks are identified, and this information is documented in a project schedule.