COCOMO

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The Constructive Cost Model (COCOMO) is a procedural software cost estimation model developed by Barry W. Boehm. The model parameters are derived from fitting a regression formula using data from historical projects (61 projects for COCOMO 81 and 163 projects for COCOMO II).

Video COCOMO

History

The constructive cost model was developed by Barry W. Boehm in the late 1970s and published in Boehm's 1981 book Software Engineering Economics as a model for estimating effort, cost, and schedule for software projects. It drew on a study of 63 projects at TRW Aerospace where Boehm was Director of Software Research and Technology. The study examined projects ranging in size from 2,000 to 100,000 lines of code, and programming languages ranging from assembly to PL/I. These projects were based on the waterfall model of software development which was the prevalent software development process in 1981.

References to this model typically call it COCOMO 81. In 1995 COCOMO II was developed and finally published in 2000 in the book Software Cost Estimation with COCOMO II. 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 overnight batch processing to desktop development, code reusability, and the use of off-the-shelf software components. This article refers to COCOMO 81.

COCOMO consists of a hierarchy of three increasingly detailed and accurate forms. The first level, Basic COCOMO is good for quick, early, rough order of magnitude estimates of software costs, but its accuracy is limited due to its lack of factors to account for difference in project attributes (Cost Drivers). Intermediate COCOMO takes these Cost Drivers into account and Detailed COCOMO additionally accounts for the influence of individual project phases.

Maps COCOMO

Basic MODEL

Basic COCOMO computes software development effort (and cost) as a function of program size. Program size is expressed in estimated thousands of source lines of code (SLOC, KLOC).

COCOMO applies to three classes of software projects:

• Organic projects - "small" teams with "good" experience working with "less than rigid" requirements
• Semi-detached projects - "medium" teams with mixed experience working with a mix of rigid and less than rigid requirements
• Embedded projects - developed within a set of "tight" constraints. It is also combination of organic and semi-detached projects.(hardware, software, operational, ...)

The basic COCOMO equations take the form

Effort Applied (E) = a_b(KLOC)^b_b [ man-months ]

Development Time (D) = c_b(Effort Applied)^d_b [months]

People required (P) = Effort Applied / Development Time [count]

where, KLOC is the estimated number of delivered lines (expressed in thousands ) of code for project. The coefficients a_b, b_b, c_b and d_b are given in the following table (note: the values listed below are from the original analysis, with a modern reanalysis producing different values):

Basic COCOMO is good for quick estimate of software costs. However it does not account for differences in hardware constraints, personnel quality and experience, use of modern tools and techniques, and so on.

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Intermediate COCOMOs

Intermediate COCOMO computes software development effort as function of program size and a set of "cost drivers" that include subjective assessment of product, hardware, personnel and project attributes. This extension considers a set of four "cost drivers", each with a number of subsidiary attributes:-

• Product attributes
  • Required software reliability extent
  • Size of application database
  • Complexity of the product
• Hardware attributes
  • Run-time performance constraints
  • Memory constraints
  • Volatility of the virtual machine environment
  • Required turnabout time
• Personnel attributes
  • Analyst capability
  • Software engineering capability
  • Applications experience
  • Virtual machine experience
  • Programming language experience
• Project attributes
  • Use of software tools
  • Application of software engineering methods
  • Required development schedule

Each of the 15 attributes receives a rating on a six-point scale that ranges from "very low" to "extra high" (in importance or value). An effort multiplier from the table below applies to the rating. The product of all effort multipliers results in an effort adjustment factor (EAF). Typical values for EAF range from 0.9 to 1.4.

The Intermediate Cocomo formula now takes the form:

E=a_i(KLoC)^(b_i)(EAF)

where E is the effort applied in person-months, KLoC is the estimated number of thousands of delivered lines of code for the project, and EAF is the factor calculated above. The coefficient a_i and the exponent b_i are given in the next table.

The Development time D calculation uses E in the same way as in the Basic COCOMO.

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Detailed COCOMO

Detailed COCOMO incorporates all characteristics of the intermediate version with an assessment of the cost driver's impact on each step (analysis, design, etc.) of the software engineering process.

The detailed model uses different effort multipliers for each cost driver attribute. These Phase Sensitive effort multipliers are each to determine the amount of effort required to complete each phase. In detailed cocomo, the whole software is divided into different modules and then we apply COCOMO in different modules to estimate effort and then sum the effort.

The effort is calculated as a function of program size and a set of cost drivers are given according to each phase of the software life cycle.

A Detailed project schedule is never static.

The Six phases of detailed COCOMO are:-

• planning and requirements
• system design
• detailed design
• module code and test
• integration and test
• Cost Constructive model

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See also

• Comparison of development estimation software
• Cost overrun
• COSYSMO
• Estimation in software engineering
• Function point
• Object point
• Putnam model
• SEER-SEM
• Software development effort estimation
• Software engineering economics
• COCOMO II Calculator

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References

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Further reading

• Kemerer, Chris F. (May 1987). "An Empirical Validation of Software Cost Estimation Models" (PDF). Communications of the ACM. 30 (5): 416-42. doi:10.1145/22899.22906. 

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External links

• COCOMO 81 data on tera-PROMISE
• Analysis of the COCOMO 81 data obtains a different value for the Organic exponent.

Source of article : Wikipedia