TY - GEN
T1 - The four types of self-adaptive systems: A metamodel
AU - Seidita, Valeria
AU - Sabatucci, Luca
AU - Seidita, Valeria
AU - Cossentino, Massimo
AU - Sabatucci, Luca
AU - Cossentino, Massimo
PY - 2018
Y1 - 2018
N2 - The basic ideas of self-adaptive systems are not a novelty in computer science. There are plenty of systems that are able of monitoring their operative context to take run-time decisions. However, more recently a new research discipline is trying to provide a common framework for collecting theory, methods, middlewares, algorithms and tools for engineering such software systems. The aim is to collect and classify existing approaches, coming from many different research areas. The objective of this work is providing a unified metamodel for describing the various categories of adaptation.
AB - The basic ideas of self-adaptive systems are not a novelty in computer science. There are plenty of systems that are able of monitoring their operative context to take run-time decisions. However, more recently a new research discipline is trying to provide a common framework for collecting theory, methods, middlewares, algorithms and tools for engineering such software systems. The aim is to collect and classify existing approaches, coming from many different research areas. The objective of this work is providing a unified metamodel for describing the various categories of adaptation.
KW - Computer Science (all)
KW - Decision Sciences (all)
KW - Computer Science (all)
KW - Decision Sciences (all)
UR - http://hdl.handle.net/10447/247493
UR - http://www.springer.com/series/8767
M3 - Conference contribution
SN - 978-3-319-59479-8
T3 - SMART INNOVATION, SYSTEMS AND TECHNOLOGIES
SP - 440
EP - 450
BT - Intelligent Interactive Multimedia Systems and Services 2017
ER -