Goal-directed requirements acquisition
6IWSSD Selected Papers of the Sixth International Workshop on Software Specification and Design
Software product lines: practices and patterns
Software product lines: practices and patterns
Laws of Software Evolution Revisited
EWSPT '96 Proceedings of the 5th European Workshop on Software Process Technology
Proceedings of the 2003 ACM symposium on Software visualization
Requirements monitoring in dynamic environments
RE '95 Proceedings of the Second IEEE International Symposium on Requirements Engineering
Selective capture and replay of program executions
WODA '05 Proceedings of the third international workshop on Dynamic analysis
Towards a unified framework for the monitoring and recovery of BPEL processes
TAV-WEB '08 Proceedings of the 2008 workshop on Testing, analysis, and verification of web services and applications
Behavior Monitoring in Self-Healing Service-Oriented Systems
COMPSAC '10 Proceedings of the 2010 IEEE 34th Annual Computer Software and Applications Conference
Requirements-Aware Systems: A Research Agenda for RE for Self-adaptive Systems
RE '10 Proceedings of the 2010 18th IEEE International Requirements Engineering Conference
The DOPLER meta-tool for decision-oriented variability modeling: a multiple case study
Automated Software Engineering
Kieker: a framework for application performance monitoring and dynamic software analysis
ICPE '12 Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering
Monitoring distributed systems
IEEE Network: The Magazine of Global Internetworking
IEEE Software
A survey on teaching of software product lines
Proceedings of the Eighth International Workshop on Variability Modelling of Software-Intensive Systems
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An increasing number of software systems today are systems of systems (SoS) comprising decentralized and heterogeneous systems with operational and managerial independence. The evolution of SoS is the rule and not the exception in practice due to frequently changing requirements, technologies, and markets. However, providing adequate support for the evolution of SoS is rather challenging as their behavior often emerges at runtime and is difficult to predict. Hence, SoS must be monitored during simulation and operation to ensure compliance with its requirements. In this position paper, we present challenges for SoS evolution from the domain of industrial automation. We discuss existing approaches supporting SoS evolution and derive research issues. We outline requirements for SoS evolution support and present key capabilities of a flexible monitoring and evolution infrastructure. We conclude with a discussion of research perspectives.