Software Metrics: A Guide to Planning, Analysis, and ApplicationCRC Press, 2003. gada 26. sept. - 312 lappuses The modern field of software metrics emerged from the computer modeling and "statistical thinking" services of the 1980s. As the field evolved, metrics programs were integrated with project management, and metrics grew to be a major tool in the managerial decision-making process of software companies. This book simplifies software measurement and explains its value as a tool for decision-makers at software companies. Techniques presented in Software Metrics: A Guide to Planning, Analysis, and Application are derived from best practices. The ideas are field-proven, down-to-earth, and straightforward, making it an invaluable resource for those striving for process improvement. This overview helps readers enrich their knowledge of measurements, analysis, and best practices, and demonstrates how ordinary analysis techniques can be applied to achieve extraordinary results. Easy-to-understand tools and techniques show how metrics create models that are indispensable to decision-making in the software industry. |
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Citi izdevumi - Skatīt visu
Software Metrics: An Analysis and Evaluation Alan J. Perlis,Frederick Sayward,Mary Shaw Ierobežota priekšskatīšana - 1981 |
Software Metrics Alan J. Perlis,Frederick G. Sayward,Mary Shaw,Fernando J. Corbato,Jack B. Dennis,Albert Meyer Priekšskatījums nav pieejams - 2008 |
Bieži izmantoti vārdi un frāzes
analyze baseline calibration Capability Maturity Model COCOMO complexity control chart control limits core metrics correlation create curve cycle data analysis data mining data visualization decision centers decision support defect density defect discovery descriptive statistics design of experiments effort variance Equation estimation model example Exhibit 11 experience factors forecasting frequency distribution function goals graph histogram human illustrated in Exhibit implementing metrics integration ISBN linear mapping matrix methods metrics data metrics database metrics plan metrics system Nonlinear Regression online metrics organization outliers Pareto Chart percent phase prediction problem process behavior process capability process maturity process models productivity project management quantitative radar chart regression analysis regression line regression model relationship reliability requirements Review Effectiveness risk scale scenario Schedule variance shown in Exhibit Six Sigma software engineering Software Measurement Software Metrics software projects structure Test tracking trend variable variation