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O. Kovalenko, D. Winkler, M. Kalinowski, E. Serral Asensio, S. Biffl:
"Engineering Process Improvement in Heterogeneous Multi-Disciplinary Environments with the Defect Causal Analysis";
Vortrag: 21th EuroSPI Conference on Systems Software and Service Process Improvement, Industrial Track, Luxembourg, Luxemburg; 25.06.2014 - 27.06.2014; in: "Proceedings of the 21th EuroSPI Conference on Systems Software and Service Process Improvement, Communication in Computer and Information Science", Springer, (2014), ISBN: 978-3-662-43895-4; S. 73 - 85.

Multi-disciplinary engineering environments, e.g., in automation
systems engineering, typically involve different stakeholder groups and engineering
disciplines using a variety of specific tools and data models. Defects in
individual disciplines can have a major impact on product and process quality
in terms of additional cost and effort for defect repair and can lead to project delays.
Early defects detection and avoidance in future projects are key challenges
for project and quality managers to improve the product and process quality. In
this paper we present an adaptation of the defect causal analysis (DCA) approach,
which has been found effective and efficient to improve product quality
in software engineering contexts. Applying DCA in multi-disciplinary engineering
environments enables a systematic analysis of defects and candidate root
causes, and can help providing countermeasures for product and process quality.
The feasibility study of the adapted DCA has shown that the adaptation is
useful and enables improving defect detection and prevention in multidisciplinary
engineering projects and fosters engineering process improvement.

defect causal analysis, automation systems, multi-disciplinary project, product improvement, product quality, process improvement.