Six years of systematic literature reviews in software engineering: An updated tertiary study
Information and Software Technology
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
A tool supporting root cause analysis for synchronous retrospectives in distributed software teams
Information and Software Technology
Perceived causes of software project failures - An analysis of their relationships
Information and Software Technology
| Hi-index | 0.00 |
Defect causal analysis (DCA) is a means of product focused software process improvement. A systematic literature review to identify the DCA state of the art has been undertaken. The systematic review gathered unbiased knowledge and evidence and identified opportunities for further investigation. Moreover, some guidance on how to efficiently implement DCA in software organizations could be elaborated. This paper describes the initial concept of the DBPI (Defect Based Process Improvement) approach. It represents a DCA based approach for process improvement, designed considering the results of the systematic review and the obtained guidance. Its main contributions are tailoring support for DCA based process improvement and addressing an identified opportunity for further investigation by integrating organizational learning mechanisms regarding cause-effect relations into the conduct of DCA.