Cause-and-Effect Diagram

The cause-and-effect diagram is one of the less frequently used tools in software development. Perhaps the best example among fishbone diagrams is the one given by Grady and Caswell (1986). In its quality improvement effort, the development team on a Hewlett-Packard project first used a Pareto diagram and found that defects associated with register allocation were the most prevalent in their project. With the help of a cause-and-effect diagram, they conducted brainstorming sessions on those problems. As Figure 5.15 shows, they found side effects of register usage and incorrect processor register usage to be the two primary causes. Ultimately, both were found to be caused by incomplete knowledge of the operation of the registers. With this finding, that HP division took aggressive steps to provide proper training and documentation regarding registers and processors prior to subsequent projects. Figure 5.16 shows a fishbone diagram relating the key factors to effective inspections. Such a diagram was part of the process education material for a project at IBM Rochester.

Figure 5.15. Cause-and-Effect Diagram

From Software Metrics: Establishing a Company-Wide Program , by R. B. Grady and D. L. Caswell, 1998. Reprinted by permission of Pearson Education, Inc., Upper Saddle River, N.J.


Figure 5.16. Cause-and-Effect Diagram of Design Inspection


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

Availability Metrics

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

Concluding Remarks

A Project Assessment Questionnaire

Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering (2nd Edition)
ISBN: 0201729156
EAN: 2147483647
Year: 2001
Pages: 176 © 2008-2020.
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