Dr. Juergen Rilling#

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Ambient Software Evolution Research From an perspective, a ambient software ecosystem employs a broader set of components, such as software services, knowledge, process representations, and artifacts at different abstraction and semantic levels. The infrastructure of such a software ecosystem consists of a pervasive digital environment, which is mainly populated by digital components and supports the description, composition, evolution, integration, sharing, and distribution of knowledge. The social and business network topologies found in these ecosystems are often not hierarchical, making it difficult to identify and implement a single functional reference model, due to the heterogeneity of the components. Similar to biological ecosystems, software ecosystems are not static. They must evolve in order to adapt to changing requirements and environmental contexts, while still satisfying their expected functional and non-functional requirements.

The general research objective of my ongoing research can be summarized as the need to provide enabling technologies in order to support and improve Ambient Software Evolution which can be defined as:

Related Research Areas:#

Collaborative Software Engineering (CSE))

Software Traceability

Program comprehension

Knowledge based Software Engineering

Source code analysis

Quality assessment

Research support is provided by:#