ABSTRACT
Systems of Systems (SoS) are playing an important role in many critical sectors of our society as an answer to the ever-growing complexity of software-intensive systems. Resulting from the interoperability among independent constituent systems, SoS can perform more complex and larger missions, not achievable by any of the constituents operating individually. Moreover, the amount of data produced by the constituents can be put together to discover essential knowledge to more adequately achieve the SoS missions. This chapter analyzes the evolution of previous and recent approaches for knowledge discovery in SoS and compares them with existing ones for monolithic systems. We distill some conclusions and new insights and present an agenda for future research in this ever-growing topic.
