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Cocomo Metric Calculator

Project description


  • E is the Effort in staff months
  • a and b are coefficients to be determined
  • KLOC is thousands of lines of code (NOTE: cocomoco uses LOC, do not enter kloc values)

With cocomoco, to calculate the effort for 100000 lines of code using the organic model: print(cocomoco.calculate(100000).effort) -> 302.1 (person-months).

Project Development Time, Staff Size & Productivity

Development Time

  • DTime is time for development
  • c and d are constants to be determined
  • E is the effort

With cocomoco, to calculate the development time for 100000 lines of code using the organic model: print(cocomoco.calculate(100000).dtime) -> 21.9 (months).

Staff Size

Average staff size can be calculated in the following way:

Remember: Effort == Staff Months & Dtime == Months -> divide both cancel the months and staff remains!

With cocomoco, to calculate the average staff size for 100000 lines of code using the organic model: print(cocomoco.calculate(100000).staff) -> 14 number of average staff size.


How many lines of code per staff month can be calculated via:

With cocomoco, to calculate the staff productivity for 100000 lines of code using the organic model: print(cocomoco.calculate(100000).sloc_per_staff_month) -> 331 lines of code per staff member and month.


Standard Models

Models define the coefficients a and b for typical projects.

  • Organic
    • 2-50 KLOC
    • stable dev
    • little innovation
  • Semidetached
    • 50-300 KLOC
    • average abilities
    • medium time-constraints
  • Embedded
    • larger 300 KLOC
    • large project team
    • complex
    • innovative
    • severe constraints

Standard Constants


  • a: 2.4
  • b: 1.05
  • c: 2.5
  • d: 0.38


  • a: 3.0
  • b: 1.12
  • c: 2.5
  • d: 0.35


  • a: 3.6
  • b: 1.2
  • c: 2.5
  • d: 0.32

Intermediate Models

Intermediate cocomo introduces cost drivers to the standard models.

  • Product Attributes
    • RELY Required Software Reliability
    • DATA Data Base Size
    • CPLX Product Complexity
  • Computer Attributes
    • TIME Execution Time Constraint
    • STOR Main Storage Constraint
    • VIRT Virtual Machine Volatility
    • TURN Computer Turnaround Time
  • Personnel Attributes
    • ACAP Analyst Capability
    • AEXP Application Experience
    • PCAP Programming Capability
    • VEXP Virtual Machine Experience
    • LEXP Programming Language Experience
  • Project Attributes
    • MODP Modern Programming Practices
    • TOOL Use of Software Tools
    • SCED Required Development Schedule

Cocomo commes with a predefined set of values in the following categories: very low, low, nominal, high, very high, extra high.

Show Case

Following charts are created via python3 -m cocomoco --demo-mode:

Effort 100k -> 500k LOC


Producticity 100k -> 500k LOC



Simple install this module via pip (pip for Python 2 is also supported)

pip3 install --user cocomoco


As Python Module

import cocomoco

result = cocomoco.calculate(100000)

As Python Executable

$ python3 -m cocomoco --sloc <number> [--model <modelname>]


Project details

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