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1. Explaining Architectural Design Tradeoff Spaces: A Machine Learning Approach

2. Automated Planning for Supporting Knowledge-Intensive Processes

3. IPL: An Integration Property Language for Multi-model Cyber-physical Systems

4. Reasoning About Sensing Uncertainty in Decision-Making for Self-adaptation

5. Software Engineering for Self-Adaptive Systems: Research Challenges in the Provision of Assurances

6. Analyzing Self-Adaptation Via Model Checking of Stochastic Games

7. Challenges in Composing and Decomposing Assurances for Self-Adaptive Systems

8. Synthesis and Quantitative Verification of Tradeoff Spaces for Families of Software Systems

9. Architecture Modeling and Analysis of Security in Android Systems

10. Impact Models for Architecture-Based Self-adaptive Systems

11. Resolving Data Mismatches in End-User Compositions

12. On Patterns for Decentralized Control in Self-Adaptive Systems

13. Software Engineering for Self-Adaptive Systems: A Second Research Roadmap

14. Foundations and Tools for End-User Architecting

15. Architecture-Based Run-Time Fault Diagnosis

16. An Architectural Approach to End User Orchestrations

17. Improving Architecture-Based Self-adaptation Using Preemption

18. Improving Architecture-Based Self-Adaptation through Resource Prediction

20. Making Self-Adaptation an Engineering Reality

21. Using Architectural Models at Runtime: Research Challenges

24. Software Architecture-Based Adaptation for Pervasive Systems

25. Toward Pure Polylingual Persistence

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