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CS605 - Software Engineering II - Lecture Handout 15

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Statistical Control Techniques – control charts

Same process metrics vary from project to project. We have to determine whether the trend is statistically valid or not. We also need to determine what changes are meaningful. A graphical technique known as control charts is used to determine this.

This technique was initially developed for manufacturing processes in the 1920’s by Walter Shewart and is still very applicable even in disciples like software engineering. Control charts are of two types: moving range control chart and individual control chart. This technique enables individuals interested in software process improvement to determine whether the dispersion (variability) and “location” (moving average) of process metrics are stable (i.e. the process exhibits only natural or controlled changes) or unstable (i.e. the process exhibits out-of-control changes and metrics cannot be used to predict performance).

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MGT411 - Money & Banking - Lecture Handout 27

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  • Non-depository Institutions
  • Insurance Companies
  • Securities Firms
  • Finance Companies
  • Government Sponsored Enterprises

Non-depository Institutions

Read more: MGT411 - Money & Banking - Lecture Handout 27