Software evolution is a necessity for present-day software development and the operations of enterprise software systems and embedded systems, including production lines. Evolution is driven by changing and new requirements originating from user needs, alterations in the underlying hardware, and environmental changes, such as cloud computing for enterprise systems and modifications of production lines and processes. Current methods and processes in software system engineering are not well

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... to handle these drivers of change, as knowledge about the software is predominantly stored in informal documents and not linked with other artefacts. Furthermore, most parts of a software system are only represented in the form of a source code, which carries knowledge only on what to do but not on why to do it. We address these shortcomings with new ways and forms to describe and specify artefacts used in the development and operation of software systems. Hence, we must use and collect knowledge concerning the software system and its context at runtime and apply it at design time to enrich the evolution. We support the discovery, extraction, and handling of knowledge with novel methods and processes to foster R. Jung ( )