They may create inspection plans and criteria to ensure defective parts are detected prior to completion.
In many of the fields where it is used, quality engineering is closely linked to compliance with legal and business requirements, contractual obligations and standards.
As far as quality attributes are concerned, reliability, security and safety of IT services play a predominant role.
This is a key component of the quality engineering process and, at the same time, is a prerequisite for its continuous monitoring and control.
To ensure effective and efficient measuring of quality objectives the integration of core numbers, which were identified manually (e.g. by expert estimates or reviews), and automatically identified metrics (e.g. by statistical analysis of source codes or automated regression tests) as a basis for decision-making is favourable.
[10] The quality engineering knowledge base comprises manifold structured and unstructured data, ranging from code repositories via requirements specifications, standards, test reports and enterprise architecture models to system configurations and runtime logs.
The data of the quality engineering knowledge base are generated, processed and made available both manually as well as tool-based in a geographically, organisationally and technically distributed context.
Of prime importance is the focus on quality assurance tasks, early recognition of risks, and appropriate support for the collaboration of actors.