Procedural and Quantitative Approach to Quality Management

A quality product does exactly what the user want it to do. The quality of software can be interpreted in terms of satisfying the requirements of the user. Quality management is one of the vital phases in Software Project Management which relates to the planning, designing, implementing, and monitoring of the process of the software product which aims to meet customers’ every single need and expectation.

Quality management is not a single-step process. It is a systematic approach that emphasizes a wide range of activities like quality planning, quality control, quality assurance, and quality management.

The quality management process results in the growth of the organization by ensuring that the organization produces high-quality products and services.

Procedural Approach to Quality Management

A Procedural approach involves a set of procedures and processes which manages the quality level of the software product and progresses till the desired quality level is reached.

The procedural approach to Quality Management typically involves the following steps:

1. Define quality: Defining what quality means to the organization and anticipating the quality standards and requirements.
2. Establish processes: Ideate and implement the processes which will lead to meeting the requirements and quality standards along with responsibilities that should be taken for each step, and how each step will be monitored
3. Train personnel: Train personnel to understand the quality goals, standards, and procedures so that they can consistently deliver high-quality products or services. 
4. Monitor and measure: Monitoring consistently increases the change to ensure that it is operating as intended and desired quality level of the product is being achieved.
5. Consistent improvement: Continuously analyze the process data and make improvements as needed to maintain or improve the quality level.

A Quantitative Approach to Quality Management

A quantitative approach involves using statistical methods and procedures of data analysis to analyze, understand and improve the quality of software products and services.

The quantitative approach to Quality Management typically involves the following steps:

1. Collect data: Collect data on the process, product, or service to be analyzed. The data that is related to the process, product, or service is collected for the analysis process.
2. Analyze data: To analyze data, Statistical methods are useful to identify the trends, and patterns for the future growth of the organization.
3. Identify cause-and-effect relationships: The analyzed data in the data analysis phase is used to identify the cause-and-effect relationships with the issues that affect the quality of the product and identify the root cause of the problem to reduce the repetition of the issue
4. Implement improvements: Based on the results from data analysis and Identifying the cause-and-effect relationship, new changes or features are added to increase the quality level by implementing the improvements.
5. Monitor and measure: To ensure that the improvements lead to providing the desired quality of the product and satisfying the requirements, regular monitoring along with certain measures is needed.

Differences Between Procedural and Quantitative Approaches

Procedural Approach	Quantitative Approach
The Procedural Approach mainly focuses on procedures and processes.	The Quantitative Approach mainly focuses on Statistical analysis.
The process can achieve the estimated quality level by improving the development and implementation of the processes.	The quality can be improved by improving the data analysis process by using the appropriate statistical methods.
Involves training personnel on quality goals, standards, and procedures. This approach moves in the path of quality goals, standards, and training personnel.	This approach moves in the path of collecting and analyzing the data to identify trends and patterns.
Monitors and measures the process to ensure that it is operating as intended.	Monitors and measures the process to ensure that improvements have had the desired effect and that the process is operating as intended.
Continuously analyzes the process to identify opportunities for improvement.	Continuously analyzes the process data to identify opportunities for improvement.
The aim is to ensure consistency and predictability of the process.	The aim is to understand and improve the quality of the process.