The Many Facets of Mediation: A Requirements-driven Approach for Trading-off Mediation Solutions

Mediation aims at enabling dynamic composition of multi- ple components by making them interact successfully in order to satisfy given requirements. Through dynamic composition, software systems can adapt their structure and behaviour in dynamic and heterogeneous envi- ronments such as ubiquitous computing environments. This paper pro- vides a review of existing mediation approaches and their key character- istics and limitations. We claim that only a multifaceted approach that brings together and enhances the solutions of mediation from different perspectives is viable in the long term. We discuss how requirements can help identify synergies and trade-offs between these approaches and drive the selection of the appropriate mediation solution. We also highlight the open issues and future research directions in the area

Desen: Specification of Sociotechnical Systems via Patterns of Regulation and Control

We address the problem of engineering a sociotechnical system (STS) with respect to its stakeholders’ requirements. We motivate a two-tier STS conception comprising a technical tier that provides control mechanisms and describes what actions are allowed by the software components, and a social tier that characterizes the stakeholders’ expectations of each other in terms of norms. We adopt agents as computational entities, each representing a different stakeholder. Unlike previous approaches, our framework, Desen, incorporates the social dimension into the formal verification process. Thus, Desen supports agents potentially violating applicable norms—a consequence of their autonomy. In addition to requirements verification, Desen supports refinement of STS specifications via design patterns to meet stated requirements. We evaluate Desen at three levels. We illustrate how Desen carries out refinement via the application of patterns on a hospital emergency scenario. We show via a human-subject study that a design process based on our patterns is helpful for participants who are inexperienced in conceptual modeling and norms. We provide an agent-based environment to simulate the hospital emergency scenario to compare STS specifications (including participant solutions from the human-subject study) with metrics indicating social welfare and norm compliance, and other domain dependent metrics