#Cocomo model and its variations drivers
#Cocomo model and its variations driver
#Cocomo model and its variations software

В® The COCOMO model primarily represents development effort (from the planning phase through the implementation phase).

#Cocomo model and its variations drivers

В® It is dependent on the knowledge of cost drivers and/or the amount of time spent in each phase. В® Experience-based estimation may be flawed because of obsolescence of the historical data used or because the estimators' memory of past projects is flawed. В® All the levels are dependent on the size estimate-the accuracy of the size drives the accuracy of effort, development time, staffing, and productivity estimates.

#Cocomo model and its variations software

В® It ignores the software development environment. В® It oversimplifies the impact of security issues. В® It ignores customer attributes-skill, cooperation, knowledge, and responsiveness. В® It ignores documentation and other requirements.

Detailed Model uses a very complex procedure to calculate estimation.В® It ignores requirements volatility (but an organization may add this as an extra adjustment factor in computing EAF).

Detailed Model uses the same equations for estimations as the Intermediate Model.

overall project relations such as nominal effort and schedule equations.

cost drivers tend to vary from subsystem to subsystem, but are the same for modules in a sub-system.

cost drivers tend to vary at the lowest level.

The fifteen cost drivers are related to module or subsystem levelДetailed COCOMO Model: Module-Subsystem-System The software product is estimated in the three level hierarchical decomposition. The effort multipliers for every cost drivers are different during the software development phases

It can be very tedious to use on a product with many componentsДetailed COCOMO Model: How is it Different?.

Its effort multipliers are phase-insensitive.The Intermediate Model estimates are within 20% of the actuals 68% of the time.or it can be applied at the software product component level for more accurate cost estimation in more detailed stages.The Intermediate Model can be applied across the entire software product for easily and rough cost estimation during the early stage.Intermediate Model: When Should You Use It Table of Effort Multipliers for each of the Cost Drivers is provided with ranges depending on the ratings.LEXP - Programming Language Experience.

#Cocomo model and its variations driver

Intermediate Model: Cost Driver Categories

The Intermediate Model estimates the software development effort by using fifteen cost driver variables besides the size variable used in Basic COCOMO.

Average Staffing = 146 MM /14 months = 10 FSP.

We estimate our project will have 32,000 Delivered Source Instructions.Using the formulas, we can estimate:.

We have determined our project fits the characteristics of Semi-Detached mode.

The Basic COCOMO estimates are within a factor of 1.3 only 29% of the time, and within a factor of 2 only 60% of the time.

Its accuracy is necessarily limited because of its lack of factors which have a significant influence on software costs.

Basic COCOMO is good for quick, early, rough order of magnitude estimates of software costs.

Basic COCOMO model estimates the software development effort using only a single predictor variable (size in DSI) and three software development modesД«asic COCOMO Model: When Should You Use It.

Assumes the requirements specification is not substantially changed after the plans and requirements phase.

COCOMO estimates assume that the project will enjoy good management by both the developer and the customer.

Primary cost driver is the number of Delivered Source Instructions (DSI) developed by the project.

COCOMO has three different models that reflect the complexity:.

COCOMO predicts the effort and schedule for a software product development based on inputs relating to the size of the software and a number of cost drivers that affect productivity.It was developed by Barry Boehm in 1981.COCOMO is one of the most widely used software estimation models in the world.