Today, the business environment is extremely volatile. Customer expectations and requirements keep changing and evolving on a daily basis. In such an environment, the most important challenge for an organization is to deliver products that meet customer expectations, and remain competitive.
Constantly measuring the current process performance helps an organization know the current existing process performance. It also enables taking appropriate actions to control and improve critical organizational processes to meet or exceed customer expectations.
Quantitative Software Process Management (QSPM) is an approach that integrates the concept of measurement with process management. This approach provides an organization with an objective insight into its goals and the capability of its processes.
Quantitative Software Process Management course includes:
- An Overview to Quantitative Software Process Management
- Planning and Defining the Measures of Process Performance
- Measuring Process Performance
- Analyzing Process Performance using Statistical Tools – I
- Analyzing Process Performance using Statistical Tools – II
- Controlling a Process
- Improving a Process
This course will enable you to:
- Explain the significance of managing a process quantitatively.
- Formulate a measurement action plan for the quantitative management of critical organizational processes.
- Collect, verify, and organize the process data corresponding to critical organizational processes.
- Select and use an appropriate statistical tool to organize, analyze, and interpret process data.
- Analyze and control the performance of a process and sustain the controlled state of the process.
- Initiate and sustain activities for improving critical organizational processes.
You receive a certificate of completion after successfully this course.
Quantitative Software Process Management (QSPM) is an approach that integrates the concept of measurement with process management. This approach provides an organization with an objective insight into its goals and the capability of its processes. This facilitates the identification of gaps between the actual and desired output from the process. QSPM enables an organization to measure the capability of a process and use the process data to set realistic performance goals. In addition, it helps to analyze the consistency in process performance and predict the expected output of the process within a given range.
QSPM involves the use of some statistical tools—a histogram, a probability distribution curve (PDC), a control chart, a cause-and-effect (C-E) diagram, and a Pareto chart—to analyze process data.
QSPM is facilitated by an organization-wide measurement program called the QSPM initiative. The four phases in the implementation and execution of the QSPM initiative are Plan, Measure, Control, and Improve.
Plan, the first phase in QSPM, helps you to select and define measures of process performance. The Measure phase involves three activities—Data Collection, Data Verification, and Data Organization.
Control—the third phase of QSPM—consists of activities for analyzing process performance and establishing the stability of a process. The output of a controlled process is both repeatable and predictable. However, in certain situations, this output might not be capable of meeting customer requirements or expectations. Therefore, the process needs to be improved.
Improve, the fourth phase of QSPM, helps you enhance a process so that its output meets or exceeds customer requirements.