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."
Mostrar mensagens com a etiqueta OPP. Mostrar todas as mensagens
Mostrar mensagens com a etiqueta OPP. Mostrar todas as mensagens
quinta-feira, 1 de março de 2018
quinta-feira, 8 de junho de 2017
About PPB and PPMs (Process Performance Baselines and Process Performance Models)
Important to process improvement frameworks (such as CMMI) and to most modern organizations is the ability to measure and detect deviations to common well known (official) process performance baselines (PPB).
Better yet is the capability of "predicting the future" i.e. the behavior of the process, having as inputs some well known data, supported by the process performance model (PPM).
CMMI-DEV OPP Process Area is intimately related with these concepts (PPB and PPMs) and need them in place for the organizations and its software development process(es) to be be certified.
One example of a process performance model is the COCOMO model, which aims to estimate project cost having as inputs some of the project characteristics:
https://en.wikipedia.org/wiki/COCOMO
Better yet is the capability of "predicting the future" i.e. the behavior of the process, having as inputs some well known data, supported by the process performance model (PPM).
CMMI-DEV OPP Process Area is intimately related with these concepts (PPB and PPMs) and need them in place for the organizations and its software development process(es) to be be certified.
One example of a process performance model is the COCOMO model, which aims to estimate project cost having as inputs some of the project characteristics:
https://en.wikipedia.org/wiki/COCOMO
quinta-feira, 17 de março de 2016
CMMI-DEV: OPP Process Area
ORGANIZATIONAL PROCESS PERFORMANCE PROCESS MANAGEMENT (ML4)
The purpose of Organizational Process Performance (OPP) is to establish and maintain a quantitative understanding of the performance of selected processes in the organization’s set of standard processes in support of achieving quality and process performance objectives, and to provide process performance data, baselines, and models to quantitatively manage the organization’s projects.
SG 1 Baselines and models, which characterize the expected process performance of the organization’s set of standard processes, are established and maintained.
SP 1.1 Establish and maintain the organization’s quantitative objectives for quality and process performance, which are traceable to business objectives.
SP 1.2 Select processes or subprocesses in the organization’s set of standard processes to be included in the organization’s process performance analyses and maintain traceability to business objectives.
SP 1.3 Establish and maintain definitions of measures to be included in the organization’s process performance analyses.
SP 1.4 Analyze the performance of the selected processes, and establish and maintain the process performance baselines.
SP 1.5 Establish and maintain process performance models for the organization’s set of standard processes.
The purpose of Organizational Process Performance (OPP) is to establish and maintain a quantitative understanding of the performance of selected processes in the organization’s set of standard processes in support of achieving quality and process performance objectives, and to provide process performance data, baselines, and models to quantitatively manage the organization’s projects.
SG 1 Baselines and models, which characterize the expected process performance of the organization’s set of standard processes, are established and maintained.
SP 1.1 Establish and maintain the organization’s quantitative objectives for quality and process performance, which are traceable to business objectives.
SP 1.2 Select processes or subprocesses in the organization’s set of standard processes to be included in the organization’s process performance analyses and maintain traceability to business objectives.
SP 1.3 Establish and maintain definitions of measures to be included in the organization’s process performance analyses.
SP 1.4 Analyze the performance of the selected processes, and establish and maintain the process performance baselines.
SP 1.5 Establish and maintain process performance models for the organization’s set of standard processes.
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