Orthogonal Defect Classification-A Concept for In-Process Measurements
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
A case study in root cause defect analysis
Proceedings of the 22nd international conference on Software engineering
Software Testing Techniques
Agile Software Development: The Cooperative Game (2nd Edition) (Agile Software Development Series)
Agile Software Development: The Cooperative Game (2nd Edition) (Agile Software Development Series)
Testing Optimization for Mission-Critical, Complex, Distributed Systems
COMPSAC '08 Proceedings of the 2008 32nd Annual IEEE International Computer Software and Applications Conference
Design and code inspections to reduce errors in program development
IBM Systems Journal
Journal of Systems and Software
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The case study presented in this article focuses on the common pitfall in which many defect prevention activities fall, caused by inconsistency of data. Before any collected Root Cause Defect Analysis (RCA) data can be used reliably, an analysis of the variation due to the measurement system itself such as a Gauge R&R study, should be performed. This allows to understand of the integrity of the data in terms of data consistency and validity. The RCA data collection process chosen for this case study concentrates on the RCA assessment performed by engineers independently.