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Monte Carlo Modelling |
O X F O R D S O F T W A R E E N G I N
E E R I N G |
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Statistical and probabilistic methods for more
predictable software projects and processes…
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Recent
developments in statistical modelling and new software tools are making
innovative methods available to software organizations that want to increase
project predictability, reduce risks and increase their understanding of
software development activities. But new methods
and tools alone are not enough. They have to be used accountably and well if
they are not to mislead planners and undermine confidence in estimates and
the evaluation of risks. Software development is complex and subtle (even if
it doesn’t always appear that way). Every software development environment
and every project is unique. A sound understanding of your environment and
its projects is essential if statistical or probabilistic methods are to be
developed correctly and used well. Only with this understanding can models
and simulations be used in a robust and accountable manner. We have worked across many industry sectors, in software organizations
of all sizes and are a leader in helping software organizations analyse,
understand and increase the performance of their development and test
environments. And we have the background in the application of measurement
and statistical modelling techniques to software development. We are ideally placed to help you give your organization an
edge with the powerful new methods and tools you need to improve estimation,
increase project predictability and manage risks more effectively. If you want to get the best from your Monte Carlo simulations,
Bayesian networks or other statistical modelling tools, to better manage your
software development and would like help with: -
software
process modelling, -
methods or tool
selection, -
selecting or
building distributions, -
statistical
model development, -
running and
analysing your simulations, or simply validate your existing models then contact us now
to find out we can help you. CCS November 2008 |
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© Copyright
OSEL 2008 |
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