Thus far the reliability and quality management models we have discussed are either at the project or the product level. Both types of model tend to treat the software more or less as a black box. In other words, they are based on either the external behavior (e.g., failure data) of the product or the intermediate process data (e.g., type and magnitude of inspection defects), without looking into the internal dynamics of design and code of the software. In this chapter we describe the relationships between metrics about design and code implementation and software quality. The unit of analysis is more granular, usually at the program-module level. Such metrics and models tend to take an internal view and can provide clues for software engineers to improve the quality of their work.
Reliability models are developed and studied by researchers and software reliability practitioners with sophisticated skills in mathematics and statistics; quality management models are developed by software quality professionals and product managers for practical project and quality management. Software complexity research, on the other hand, is usually conducted by computer scientists or experienced software engineers. Like the reliability models, many complexity metrics and models have emerged in the recent past. In this chapter we discuss several key metrics and models, and describe a real-life example of metric analysis and quality improvement.
What Is Software Quality?
Software Development Process Models
Fundamentals of Measurement Theory
Software Quality Metrics Overview
Applying the Seven Basic Quality Tools in Software Development
Defect Removal Effectiveness
The Rayleigh Model
Exponential Distribution and Reliability Growth Models
Quality Management Models
In-Process Metrics for Software Testing
Complexity Metrics and Models
Metrics and Lessons Learned for Object-Oriented Projects
Measuring and Analyzing Customer Satisfaction
Conducting In-Process Quality Assessments
Conducting Software Project Assessments
Dos and Donts of Software Process Improvement
Using Function Point Metrics to Measure Software Process Improvements
A Project Assessment Questionnaire