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Estimating Duration and Cost

Estimating Duration and Cost - Summary
Estimating Duration and Cost - Summary

Estimating product size, staff effort, project schedule, and cost are inextricably entwined during the project planning process, which takes place for the first time near the beginning of the project life cycle and many times thereafter, generally at the end of each major phase.

Tags life cycle, software project, software development, software estimation, software product, estimating cost

SLIM - A Mathematical Model
SLIM - A Mathematical Model

With regression modeling, the stress is on constructing a formula that best represents scattered data points. In mathematical modeling, the stress is on matching the data to the form of an existing mathematical function. In the early 1960s, Peter V. Norden of IBM concluded that

Tags life cycle, software estimating, productivity level, software size

COCOMO II
COCOMO II

COCOMO II is a revised and extended version of the model, built upon the original COCOMO. It more easily allows the estimation of object-oriented software, software created via spiral or evolutionary models, and applications developed from commercial-off-the-shelf software. It

Tags life cycle, cost drivers, software cost, database

Detailed COCOMO
Detailed COCOMO

This is the most complicated version of the COCOMO model. It involves the following further steps: The program is decomposed into particular products and components of products. Boehm calls this the three-level product hierarchy: system, subsystem, and module. The top level, the system level, is used to apply major overall project relations such as nominal effort and

Tags life cycle, scheduling, gantt chart, pert chart, cost drivers, software products

Basic COCOMO Phase Distribution of Effort and Schedule
Basic COCOMO Phase Distribution of Effort and Schedule

As well as estimating development effort and schedule, it is often necessary to estimate how the effort is distributed among the primary life cycle activities. COCOMO takes a pretty simplistic view of the life cycle phases, considering only plans and requirements, product design,

Tags cost drivers, variables, attributes, life cycle

COCOMO : A Regression Model
COCOMO : A Regression Model

The COnstructive COst MOdel (COCOMO) is perhaps the most extensively used estimating technique. It is a regression-based model developed by Dr. Barry W. Boehm when he was at TRW in the early 1970s. He began by analyzing 63 software projects of various types. The

Tags software projects, regression analysis, variables, cost drivers

The Steps in Estimating
The Steps in Estimating

Generally, the steps in the software effort and cost estimation process are shown in “The SEI CMM and Estimating” Figure (b). We'll look at these next.

Tags software effort, cost estimation, software estimates, software projects

Effort Measures
Effort Measures

By effort in the software estimation process, we mean the amount of person-effort, or labor, that will be needed to carry out a task. It can be measured in any units, as long as the unit is kept consistent. On the other hand, the de facto standard is staff-hours (person-hours),

Tags software estimation, productivity measures, software development

The SEI CMM and Estimating
The SEI CMM and Estimating

The Software Engineering Institute (SEI) Capability Maturity Model (CMM) supports activities explained here. Software project planning is a key process area for maturity Level 2, the repeatable level. The KPAs in Level 2 are a necessary foundation for the mature processes that

Tags software estimation, project planning, product development, life cycle, cost estimation

Estimating Duration and Cost
Estimating Duration and Cost

"Software Size and Reuse Estimating" explained methods for estimating the size of a software project, usually in thousands of software lines of code (KSLOC or KLOC). After the size has been established, the answers to other questions that are important to all stakeholders may also

Tags software project, life cycle, cost estimation, software size

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