The current problem with it project management is "unclear": it is not clear how big the scope of the project is, how long the duration of the project should be, and how much the cost of the project should be. therefore, in order to "explain" project management clearly, it is necessary to refine and quantify it, and present it in a simple, graphical form in order to "see clearly" the project.
1. The purpose of quantitative project management:
To quantitatively manage the project to achieve the established quality and process performance goals of the project.
2. Quantitative management.
Includes statistical thinking and the correct use of various statistical techniques. the quantitative project management process area (part of cmmi) involves the following activities:
1) preparation of quantitative management projects: preparation of quantitative management
(1) establish and maintain the quality and process performance indicators of the project - establish the objectives of the project
(2) compose the defined process of the project to help achieve the quality and performance goals of the project - compose the defined process
(3) select sub-processes and attributes that are critical to understanding performance and contribute to achieving project quality and process performance goals – select sub-processes and attributes
(4) select the metrics and analytical techniques that will be used for quantitative management - select the metrics and analytical techniques
2) quantitative management of projects: make projects quantitatively managed
(5) use statistics and other quantitative techniques to supervise the performance of selected sub-processes - supervise the performance of selected sub-processes
(6) manage projects using statistics and other quantitative techniques to determine whether project quality and process performance objectives are being met – managing project performance
(7) perform a root cause analysis of the selected problem to address deficiencies in meeting project quality and process performance objectives – perform a root cause analysis
3. project measurement.
Is the key to achieve quantitative management, no measurement, project management is always subjective management. there are two ways to measure:
(1) gqm technology (target problem measurement): goal - problem - measurement
(2) psm technology (practical software measurement): cropping - application implementation
Here's a good metric scenario for the start-up phase:
(1) productivity
(2) quality
(3) scale cost
(4) time
4. classification of measurements:
(1) process measurement. quantifies the characteristics of the environment or process used for software development. -- strategic purposes
(2) project measurement. the characteristics of the software project being developed are quantified. - tactical purposes.
(3) technical measurement. the technical work was quantified. for project managers, there is interest in process metrics and project metrics, and generally no focus on technical metrics.
5. Quantitative project management.
Involves quantitative estimation, measurement and forecasting of project scope, schedule, cost, quality, procurement and other aspects. wbs, network diagrams, pert, earned value analysis tools, and quality management tools in the project management system can be used in quantitative project management, but tools for qualitative analysis such as expert judgment are generally not used.
6. The 4 basic activities of the measurement process model:
Planning measurement, execution measurement, evaluation measurement, and establishing and maintaining commitments.
7. Project measurement can use the measurement and analysis process.
There are two specific goals: to align metrics with analysis activities and to provide metric results. the following activities are involved:
(1) clearly state the goals of measurement and analysis so that they are aligned with the identified information needs and project, organizational, or business goals
(2) clearly describe the measurement items, analysis techniques, and mechanisms for data collection, data storage, reporting, and feedback
(3) implement analytical techniques and mechanisms for data collection, data reporting and feedback
(4) provide objective results that can be used to make informed decisions and take appropriate corrective actions
8. Quantitative project management tools:
(1) statistical process control tools: control chart, histogram, permutation chart, scatter map, process capability index, frequency analysis, description statistics analysis, correlation analysis, regression analysis
(2) Visualization tools: iCharts, eCharts....
The purpose of project management is to quantify any contingencies, to ensure that all results are achieved accurately and without error. therefore, from the beginning to the results, we must supervise and test with quantitative data.
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