The development of composite services poses very interesting challenges concerning their functional and NF requirements. On the one hand, a composite software system depends on the NF requirements of its constituting components in order to provide a satisfactory service to the user. On the other hand, the main issues for the fulfillment of QoS and service level agreements (SLA) are concerned with performance variability. Indeed, the QoS may evolve frequently, either because of internal changes or because of workload fluctuations. The performance and the robustness of the composite software system may be significantly improved by monitoring the execution of the components and by flexibly reacting to degradation and anomalies in a timely fashion.

The concept of adaptive and reconfigurable software systems has been introduced in order to describe architectures which exhibit such properties. An adaptive and reconfigurable software system can repair itself if any execution problems occur, in order to successfully complete its own execution, while respecting functional and NF agreements. In the design of an adaptive and reconfigurable software system, several aspects have to be considered. For instance, the system should be able to predict or to detect degradations and failures as soon as possible and to enact suitable recovery actions. Moreover, different NF requirements service levels might be considered in order to complete the execution in case of failure.

• Distributed and centralized collaborative solutions for the diagnosis and repair of software systems
• Design for the diagnosability and repairability
• Collaborative Management of NF requirements (quality, security, robustness, availability)
• Monitoring simple and composite architectures, components and services
• Semantic (or analytic) architectural and behavioral models for monitoring of software systems
• Dynamic reconfiguration of CB and SO architectures
• Collaborative planning and decision making
• Collaborative technologies for ensuring autonomic properties
• Predictive management of adaptability.
• Collaborative Management of autonomic properties
• Experiences in practical adaptive and reconfigurable CB and SO applications
• Tools and prototypes for managing adaptability of CB and SO applications