- Quality Principles and Concepts
- Quality Leadership
- Quality Baselines (Assessments and Models)
- Quality Assurance
- Quality Planning
- Define, Build, Implement and Improve Work Processes
- Quality Control Practices
- Metrics and Measurement
- Internal Control and Security
- Outsourcing, COTS and Contracting Quality
A properly established measurement system is used to help achieve missions, visions, goals, and objectives. Measurement data is most reliable when it is generated as a by-product of producing a product or service. The QA analyst must ensure that quantitative data is valued and reliable, and presented to management in a timely and easy-to-use manner. Measurement can be used to gauge the status, effectiveness and efficiency of processes, customer satisfaction, product quality, and as a tool for management to use in their decision-making processes. This category addresses measurement concepts, the use of measurement in a software development environment, variation, process capability, risk management, the ways measurement can be used and how to implement an effective measurement program.
Measurement Concepts
- Standard Units of Measure
- Metrics
- Objective and Subjective Measurement
- Types of Measurement Data (nominal, ordinal, interval, ratio)
- Measures of Central Tendency (mean, medium, mode etc.)
- Attributes of Good Measurement
- Using Quantitative Data to Manage an IT Function
- Key Indicators
Measurement in Software
- Product Measurement (size, complexity, quality and customer perception)
- Process Measurement
Variation and Process Capability
- The Measurement Program
- Installing the Measurement Program
- Common and Special Causes of Variation
- Variation and Process Improvement
- Process Capability
Risk Management
- Defining Risk
- Characterizing Risk (situational, time-based, interdependent, magnitude dependent, value-based)
- Managing Risks
- Software Risk Management
- Risks of Integrating New Technology
Implementing a Measurement Program
- The Need for Measurement
- Prerequisites