Controlling Software Projects: Management, Measurement & EstimationControlling Software Projects shows managers how to organize software projects so they are objectively measurable, and prescribes techniques for making early and accurate projections of time and cost to deliver. |
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Page 123
... structure your code . Just waving your hand over it and calling it structured won't suffice . In order to control ... chart correspond to modules in the code ( no modules in the code that weren't on the structure chart ) . • Connections ...
... structure your code . Just waving your hand over it and calling it structured won't suffice . In order to control ... chart correspond to modules in the code ( no modules in the code that weren't on the structure chart ) . • Connections ...
Page 250
... Structure chart 4 : Report On Metrics . LIST PROJECTS PID 22 21 SHOW METRIC CENSUS No PID. TYPE 67 ASC DEPORT TYPE SUMMARIE DOMAIN DONE BAN SAME ASK DOMAIN 23 NAME DN O 90 PID S NOMALE SAME GET NEXT 16 PROTECT IN DOMAIN DOMAINS SEE NEXT ...
... Structure chart 4 : Report On Metrics . LIST PROJECTS PID 22 21 SHOW METRIC CENSUS No PID. TYPE 67 ASC DEPORT TYPE SUMMARIE DOMAIN DONE BAN SAME ASK DOMAIN 23 NAME DN O 90 PID S NOMALE SAME GET NEXT 16 PROTECT IN DOMAIN DOMAINS SEE NEXT ...
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... Structure chart 21 : Show Metric Census . Structure chart 22 : List Projects . CONSTRUCT 47 SAMPLE REGRESS 34 OAEL SANTRE DN PCD OL SPID EQUATION NEXT 16 * SAMPLE SAMPLE ERNATION ... Structure chart 5 : Analyze. A SAMPLE SET OF MODELS 251.
... Structure chart 21 : Show Metric Census . Structure chart 22 : List Projects . CONSTRUCT 47 SAMPLE REGRESS 34 OAEL SANTRE DN PCD OL SPID EQUATION NEXT 16 * SAMPLE SAMPLE ERNATION ... Structure chart 5 : Analyze. A SAMPLE SET OF MODELS 251.
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Controlling Software Projects: Management, Measurement & Estimation Tom DeMarco No preview available - 1982 |
Common terms and phrases
activities actual analysis automated Bang Chapter characteristics COBOL COCOMO complete component construction correction correlation cost model curve data collection data dictionary data elements data flow data items data-strong database decision count delivered delivery described design model Design Weight diagram domain effort empirical equation error estimate evaluate example factors forecasting formulation function model function-strong functional primitives goal implementation indicator input interface linear regression lines of code manager manpower measure methods metrics derived Metrics Group module NONLINEAR REGRESSION number of decisions object object diagram observed organization p-counts partitioning percent performance pieces prediction predictor problem Product Spoilage project model project team quantitative regression Regression-Request relationship requirement result retained data model sample simulated software development Software Engineering SOFTWARE ENGINEERING ECONOMICS software projects software quality specification model standard error statistical structure Structure chart system models task techniques testing tion Volume Yourdon zero defect