Cost Estimation IV Lecture.ppt

8/10/2019 Cost Estimation IV Lecture.ppt

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Effort Estimation

/Cost EstimationSoftware Engineering

CSE 2ndYear

Course Code: CS204UNIT-III4th LECTURE


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Effort Estimation

Effort estimation consists in predict how many hours of work

and how many workers are needed to develop a project.

The effort invested in a software project is probably one of

the most important and most analysed variables in recent

years in the process of project management.

The determination of the value of this variable when initiating

software projects allows us to plan adequately any

forthcoming activities.


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Effort Estimation cont...

As far as estimation and prediction is concerned there is still a

number of unsolved problems and errors.

To obtain good results it is essential to take into consideration

any previous projects.

Estimating the effort with a high grade of reliability is a

problem which has not yet been solved and even the project

manager has to deal with it since the beginning.


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Cost Estimation

Software EngineeringCSE 2ndYear

Course Code: CS204UNIT-III

4th LECTURE


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Cost Estimation


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Cost Estimation


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The Constructive Cost Model

(COCOMO)


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(COCOMO)


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(COCOMO)


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(COCOMO)


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(COCOMO)


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(COCOMO)


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(COCOMO)


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(COCOMO)


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(COCOMO)


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(COCOMO)


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(COCOMO)


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(COCOMO)


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Intermediate COCOMO Model

Cost drivers

(i) Product Attributes Required s/w reliability(RELY)

Size of application database(DATA)

Complexity of the product(CPLX)

(ii) Hardware Attributes Run time performance constraints(TIME)

Memory constraints(STOR) Virtual machine volatility(VIRT)

Turnaround time(TURN)


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(iii) Personal Attributes

Analyst capability(ACAP)

Programmer capability(AEXP)

Application experience(PCAP) Virtual m/c experience(VEXP)

Programming language experience(LEXP)

(iv) Project Attributes

Modern programming practices(MODP)

Use of software tools(TOOL)

Required development Schedule(SCED)


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The multiplying factors for all 15 cost drivers are multiplied to get

the Effort Adjustment Factor(EAF).

Typical value for EAFrange from 0.9 to 1.4.


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COCOMO-II

COCOMO-II is the revised version of the

original COCOMO and is developed at

University of Southern California under the

leadership of Dr. Barry Boehm.

The following categories of applications /

projects are identified by COCOMO-II for the

estimation and are shown in next figure


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COCOMO-II


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COCOMO-II


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Application Composition Estimation

Model


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Model


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Model


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Model


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Model


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Model


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Model

Cost Estimation IV Lecture.ppt

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