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Cocomo II Constructive Cost Model [Boehm] Sybren Deelstra
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Why predicting effort? Effective planning and control Selecting the right components Highlight problem areas
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COnstructive COst MOdel II Estimation model for ‘90s, ‘00 cost database and tools for model improvement analytic framework, tools and techniques for evaluating technology improvement
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Market Driven End-User Programming (US: 55M) Application Generators (0.6M) Application Composition (0.7M) System Integration (0.7M) Infrastructure (0.75M)
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CoCoMo II Strategy Openness Key structure to market sectors Key in- and outputs to information available Tailorable submodels
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User Programming Model No model Activity-based estimate
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Application Composition Small teams, few weeks Based on object points: counts of screens, reports and third-generation language components Complexity factor
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Application Generator, System Integration, Infrastructure Earliest life cycles: Application Composition Model Exploration phase: Early Design Model Actual development and maintenance: Post Architectural Model
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Modeling Cost Factors Metrics for sizing –Object Points –Unadjusted Function Points –Source Lines of Code (SLOC)
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Cost Drivers Use of Tools Programmer Capabilities Analyst Capabilities Multisite Development Experience (Language, tools, domain) Reuse Documentation Product complexity...
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Equations Diseconomy of scale: Nominal effort in person months: Effort multipliers:
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Effects of reuse Non-linear: –overhead for assessing, selecting and assimilating component –small modifications generate disproportional large costs New code equivalent:
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Tool and more info: http://sunset.usc.edu/research/COCOMOII/
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