Software Metrics A Guide To Planning, Analysis, And by C.Ravindranath Pandian

By C.Ravindranath Pandian

This ebook simplifies software program dimension and explains its price as a device for decision-makers at software program businesses. options offered in software program Metrics: A advisor to making plans, research, and alertness are derived from most sensible practices. the information are field-proven, down-to-earth, and easy, making it a useful source for these striving for technique development. This assessment is helping readers enhance their wisdom of measurements,analysis, and most sensible practices, and demonstrates how usual research options will be utilized to accomplish remarkable effects. Easy-to-understand instruments and strategies convey how metrics create versions which are necessary to decision-making within the software program industry.

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Software Metrics A Guide To Planning, Analysis, And Application

This ebook simplifies software program size and explains its worth as a device for decision-makers at software program businesses. options offered in software program Metrics: A consultant to making plans, research, and alertness are derived from most sensible practices. the tips are field-proven, down-to-earth, and simple, making it a useful source for these striving for strategy development.

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A tool for calculating descriptive statistics is available in Excel as a macro in the Analysis Tool Pak. Deriving Frequency Distribution from Data Basic Analysis There are three ways of visualizing frequency distribution, ranging from mathematical to empirical. Each can be applied to a practical situation; each has its advantages. Probability Density Function Curve The first is to work from the mean and sigma to construct an ideal normal distribution curve, applying the equation to probability density function.

A tool for calculating descriptive statistics is available in Excel as a macro in the Analysis Tool Pak. Deriving Frequency Distribution from Data Basic Analysis There are three ways of visualizing frequency distribution, ranging from mathematical to empirical. Each can be applied to a practical situation; each has its advantages. Probability Density Function Curve The first is to work from the mean and sigma to construct an ideal normal distribution curve, applying the equation to probability density function.

We find that even with basic analysis such as histograms, control charts, and scatter plots, we can understand process behavior with sufficient depth. We can think of fruitful analysis of metrics data in the corresponding three domains: frequency, time, and relationship. Graphical Analysis A picture is worth a thousand words. Graphical forms have the potential to reveal the intrinsic patterns, otherwise hidden within the raw data. Visualization of data by the human mind is equivalent to execution of highly sophisticated analysis routines, albeit subconsciously.

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