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- Definition of cocomo model drivers#
- Definition of cocomo model update#
- Definition of cocomo model software#
Enable the COCOMO II submodels to be tailored to a project's particular process strategy.COCOMO II follows the openness principles used in the original COCOMO.
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Definition of cocomo model software#
Key the structure of COCOMO II to the future software marketplace sectors described earlier.Preserve the openness of the original COCOMO.
Definition of cocomo model drivers#
The current version, USC COCOMO II.1998.0, hasbeen developed by Jongmoon Baik.Overall Model Definition 1COCOMO II Models for the Software Marketplace Sectors 1COCOMO II Model Rationale and Elaboration 1Development Effort Estimates 4Software Economies and Diseconomies of Scale 4Previous Approaches 4Scaling Drivers 5Precedentedness (PREC) and Development Flexibility (FLEX) 6Architecture / Risk Resolution (RESL) 6Team Cohesion (TEAM) 7Process Maturity (PMAT) 8Overall Maturity Level 8Key Process Areas 8Adjusting Nominal Effort 9Early Design Model 10Post-Architecture Model 10Development Schedule Estimation 10Using COCOMO II 11Determining Size 11Lines of Code 11Function Points 14Counting Procedure for Unadjusted Function Points 15Converting Function Points to Lines of Code 15Breakage 16Adjusting for Reuse 16Nonlinear Reuse Effects 16A Reuse Model 18Adjusting for Re-engineering or Conversion 19Applications Maintenance 20Effort Multipliers 21Early Design 21Overall Approach: Personnel Capability (PERS) Example 22Product Reliability and Complexity (RCPX) 23Required Reuse (RUSE) 23Platform Difficulty (PDIF) 23Personnel Experience (PREX) 24Facilities (FCIL) 24Schedule (SCED) 24Post-Architecture 25Product Factors 25Required Software Reliability (RELY) 25Data Base Size (DATA) 25Product Complexity (CPLX) 25Required Reusability (RUSE) 27Documentation match to life-cycle needs (DOCU) 27Platform Factors 27Execution Time Constraint (TIME) 27Main Storage Constraint (STOR) 27Platform Volatility (PVOL) 28Personnel Factors 28Analyst Capability (ACAP) 28Programmer Capability (PCAP) 28Applications Experience (AEXP) 28Platform Experience (PEXP) 29Language and Tool Experience (LTEX) 29Personnel Continuity (PCON) 29Project Factors 29Use of Software Tools (TOOL) 29Multisite Development (SITE) 29Required Development Schedule (SCED) 30Index 31Overall Model DefinitionThe four main elements of the COCOMO II strategy are: BarryBoehm, and the other researchers (in alphabetic order) are listed below.Chris Abts Graduate Research AssistantBrad Clark Graduate Research AssistantSunita Devnani-Chulani Graduate Research AssistantEllis Horowitz Chair, Computer Science Department, USCRay Madachy Adjunct Assistant ProfessorDon Reifer Visiting AssociateRick Selby Professor, UCIBert Steece Deputy Dean of Faculty, Marshall School of Business, USCThis work is being supported both financially and technically by the COCOMO II Program Affiliates: Aerospace, Air ForceCost Analysis Agency, Allied Signal, AT&T, Bellcore, EDS, Raytheon E-Systems, GDE Systems, Hughes, IDA, JPL, Litton,Lockheed Martin, Loral, MCC, MDAC, Motorola, Northrop Grumman, Rational, Rockwell, SAIC, SEI, SPC, Sun, TI, TRW,USAF Rome Lab, US Army Research Labs, Xerox.The successive versions of the tool based on the COCOMO model have been developed as part of a Graduate Level CourseProject by several student development teams led by Dr. TheCOCOMO II research effort is being led by the Director of the Center for Software Engineering at USC, Dr.
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It focuses on issues such as non-sequential and rapid-development process models reuse-driven approaches involving commercial-off-the-shelf (COTS)packages, reengineering, applications composition, and application generation capabilities object-oriented approachessupported by distributed middleware software process maturity effects and process-driven quality estimation.
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Definition of cocomo model update#
COCOMO II Model Definition ManualAcknowledgmentsCOCOMO II is an effort to update the well-known COCOMO (Constructive Cost Model) software cost estimation modeloriginally published in Software Engineering Economics by Dr.