A literature survey of the quality economics of defect-detection techniques

Abstract

Over the last decades, a considerable amount of empirical knowledge about the efficiency of defect-detection techniques has been accumulated. Also a few surveys have summarised those studies with different focuses, usually for a specific type of technique. This work reviews the results of empirical studies and associates them with a model of software quality economics. This allows a better comparison of the different techniques and supports the application of the model in practice as several parameters can be approximated with typical average values. The main contributions are the provision of average values of several interesting quantities w.r.t. defect detection and the identification of areas that need further research because of the limited knowledge available.

10 pages, 3 figures

References in corpus (3)

• Comparing Bug Finding Tools with Reviews and Tests
• A model and sensitivity analysis of the quality economics of defect-detection techniques
• A Software Reliability Model Based on a Geometric Sequence of Failure Rates

Cited by in corpus (6)

• A Bayesian Network Approach to Assess and Predict Software Quality Using Activity-Based Quality Models
• A model and sensitivity analysis of the quality economics of defect-detection techniques
• A Bayesian Network Approach to Assess and Predict Software Quality Using Activity-Based Quality Models (Conference Version)
• Continuously Managing NFRs: Opportunities and Challenges in Practice
• Managing Quality Requirements Using Activity-Based Quality Models
• Integrating a Model of Analytical Quality Assurance into the V-Modell XT