The Usability Problem Taxonomy: A Framework for Classificationand Analysis
Empirical Software Engineering
Learning from Our Mistakes with Defect Causal Analysis
IEEE Software
Improvement of causal analysis using multivariate statistical process control
Software Quality Control
Automating and evaluating probabilistic cause-effect diagrams to improve defect causal analysis
PROFES'11 Proceedings of the 12th international conference on Product-focused software process improvement
Applying DPPI: a defect causal analysis approach using bayesian networks
PROFES'10 Proceedings of the 11th international conference on Product-Focused Software Process Improvement
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Defect-causal analysis (DCA), a low-cost technique for driving down error rates in software, is discussed. The learning method used in DCA is described, and its benefits are discussed. The effect of DCA on maturity (as in the Capability Maturity model) is considered. Possible pitfalls in using DCA are pointed out.