Intelligent Control Systems Using Soft Computing Methodologies
Intelligent Control Systems Using Soft Computing Methodologies
The Vision of Autonomic Computing
Computer
A Design Tool to Reason about Ambient Assisted Living Systems
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 02
Towards detecting and solving aspect conflicts and interferences using unit tests
Proceedings of the 5th workshop on Software engineering properties of languages and aspect technologies
Participant: A New Concept for Optimally Assisting the Elder People
CBMS '07 Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems
Redundancy in Data Structures: Improving Software Fault Tolerance
IEEE Transactions on Software Engineering
System-scenario-based design of dynamic embedded systems
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Human-Computer Interaction
On the requirements of new software development
International Journal of Business Intelligence and Data Mining
Self-adaptive software: Landscape and research challenges
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Service-oriented communities: visions and contributions towards social organizations
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems
Towards context-aware adaptive fault tolerance in SOA applications
Proceedings of the 5th ACM international conference on Distributed event-based system
Run-Time Compositional Software Platform for Autonomous NXT Robots
International Journal of Adaptive, Resilient and Autonomic Systems
WSDM-enabled autonomic augmentation of classical multi-version software fault-tolerance mechanisms
SAFECOMP'12 Proceedings of the 2012 international conference on Computer Safety, Reliability, and Security
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How to build robust-and-evolvable resilient software systems? On the one hand, evolvability implies a system's ability to reach autonomously new, possibly unprecedented conditions and states; on the other hand, resilience and robustness refer to feature persistence in the face of perturbations and changes such as the ones brought about by system evolution. How to address such problem? How to make sure that a software system shall exhibit emerging properties such as reliability or safety irrespective of its environmental conditions and whatever its new configuration may be? In this paper we discuss these problems leveraging from three cases of adaptive software and systems designs. Our conclusions are that the complexity and characteristics of the system components in control of evolution as well as the forms of interaction of the systems with their environments play a key role in the ultimate emergence of sought properties and behaviours. Moreover we highlight how social eco-systems in heterarchical organisation appear to have a stronger resilience and robustness throughout their evolutions.