Not free, but one very widely used tool for analyzing and improving Process Performance Models (PPM) using Monte Carlo simulations:
Quoting:
"Oracle Crystal Ball is the leading spreadsheet-based application suite for predictive modeling, forecasting, simulation, and optimization. It gives you unparalleled insight into the critical factors affecting risk. With Crystal Ball, you can make the right tactical decisions to reach your objectives and gain a competitive edge under even the most uncertain market conditions.
Using Monte Carlo simulation, Oracle Crystal Ball automatically calculates and records the results of thousands of different "what if" cases. Analysis of these scenarios reveals to you the range of possible outcomes, their probability of occurring, the inputs that most impact your model, and where you should focus your efforts. Oracle Crystal Ball is for strategic planners, financial analysts, engineers, scientists, entrepreneurs, CPAs, marketing managers, venture capitalists, consultants, six sigma professionals, and anyone else who uses spreadsheets to forecast uncertain results."
Well, as the title states we'll be addressing software development topics (mainly in English). Topics will be quick and short and most probably aligned with the training "problems", sorry, programs I am involved in. PS. Some links are "internal" (not publicly available): If you are not able to reach it, google will find you a publicly available information source for sure. Happy trails to you.
Mostrar mensagens com a etiqueta OPM. Mostrar todas as mensagens
Mostrar mensagens com a etiqueta OPM. Mostrar todas as mensagens
quinta-feira, 1 de março de 2018
TOOL: Statistical Analyis - Oracle Crystal Ball (Monte Carlo simulation)
Etiquetas:
2018-03,
CMMI,
Monte Carlo,
OPM,
OPP,
Oracle,
Simulation,
Statistical Analysis,
TOOL
quinta-feira, 17 de março de 2016
CMMI-DEV: OPM Process Area
ORGANIZATIONAL PERFORMANCE MANAGEMENT PROCESS MANAGEMENT (ML5)
The purpose of Organizational Performance Management (OPM) is to proactively manage the organization’s performance to meet its business objectives.
SG 1 The organization’s business performance is managed using statistical and other quantitative techniques to understand process performance shortfalls and identify areas for process improvement.
SP 1.1 Maintain business objectives based on an understanding of business strategies and actual performance results.
SP 1.2 Analyze process performance data to determine the organization’s ability to meet identified business objectives.
SP 1.3 Identify potential areas for improvement that could contribute to meeting business objectives.
SG 2 Improvements are proactively identified, evaluated using statistical and other quantitative techniques, and selected for deployment based on their contribution to meeting quality and process performance objectives.
SP 2.1 Elicit and categorize suggested improvements.
SP 2.2 Analyze suggested improvements for their possible impact on achieving the organization’s quality and process performance objectives.
SP 2.3 Validate selected improvements.
SP 2.4 Select and implement improvements for deployment throughout the organization based on an evaluation of costs, benefits and other factors.
SG 3 Measurable improvements to the organization’s processes and technologies are deployed and evaluated using statistical and other quantitative techniques.
SP 3.1 Establish and maintain plans for deploying selected improvements.
SP 3.2 Manage the deployment of selected improvements.
SP 3.3 Evaluate the effects of deployed improvements on quality and process performance using statistical and other quantitative techniques.
The purpose of Organizational Performance Management (OPM) is to proactively manage the organization’s performance to meet its business objectives.
SG 1 The organization’s business performance is managed using statistical and other quantitative techniques to understand process performance shortfalls and identify areas for process improvement.
SP 1.1 Maintain business objectives based on an understanding of business strategies and actual performance results.
SP 1.2 Analyze process performance data to determine the organization’s ability to meet identified business objectives.
SP 1.3 Identify potential areas for improvement that could contribute to meeting business objectives.
SG 2 Improvements are proactively identified, evaluated using statistical and other quantitative techniques, and selected for deployment based on their contribution to meeting quality and process performance objectives.
SP 2.1 Elicit and categorize suggested improvements.
SP 2.2 Analyze suggested improvements for their possible impact on achieving the organization’s quality and process performance objectives.
SP 2.3 Validate selected improvements.
SP 2.4 Select and implement improvements for deployment throughout the organization based on an evaluation of costs, benefits and other factors.
SG 3 Measurable improvements to the organization’s processes and technologies are deployed and evaluated using statistical and other quantitative techniques.
SP 3.1 Establish and maintain plans for deploying selected improvements.
SP 3.2 Manage the deployment of selected improvements.
SP 3.3 Evaluate the effects of deployed improvements on quality and process performance using statistical and other quantitative techniques.
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