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 154
... statistical analysis of a sample of past proj- ects , a by - product is an assessment of the degree of imprecision . This is essentially an indication of how widely the data in the sample were scattered around the prediction line . The ...
... statistical analysis of a sample of past proj- ects , a by - product is an assessment of the degree of imprecision . This is essentially an indication of how widely the data in the sample were scattered around the prediction line . The ...
Page 156
... statistical correlation between the two . However , the converse of that statement is not true . Statistical correlations do not necessarily imply cause , since there may be chance correlations between totally unrelated data items . A ...
... statistical correlation between the two . However , the converse of that statement is not true . Statistical correlations do not necessarily imply cause , since there may be chance correlations between totally unrelated data items . A ...
Page 238
... statistical correlation to cost components . This test involves use of MSP - 4 : A Correlation - Request , which asks for statistical analysis of the component - cost - to - composite - metric relationship , is submitted . MSP - 4 ...
... statistical correlation to cost components . This test involves use of MSP - 4 : A Correlation - Request , which asks for statistical analysis of the component - cost - to - composite - metric relationship , is submitted . MSP - 4 ...
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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