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  1. Research Outputs

The Ensemble Development Life Cycle and Best Practices for Collective Autonomic Systems

Chapter
Publication Date:
2015
Short description:
The Ensemble Development Life Cycle and Best Practices for Collective Autonomic Systems / Hölzl, Matthias; Koch, Nora; Puviani, Mariachiara; Wirsing, Martin; Zambonelli, Franco. - STAMPA. - 8998:(2015), pp. 325-354. [10.1007/978-3-319-16310-9_9]
abstract:
Collective autonomic systems are adaptive, open-ended, highly parallel, interactive and distributed software systems. Their key features are so-called self-* properties, such as self-awareness, self-adaptation, self-expression, self-healing and self-management. We propose a software development life cycle that helps developers to engineer adaptive behavior and to address the issues posed by the diversity of self-* properties. The life cycle is characterized by three feedback loops, i.e. based on verification at design time, based on monitoring and awareness in the runtime, and the feedback provided by runtime data to the design phases. We illustrate how the life cycle can be instantiated using specific languages, methods and tools developed within the ASCENS project. In addition, a pattern catalog for the development of collective autonomic systems is presented to ease the engineering process.
Iris type:
Capitolo/Saggio
Keywords:
software architecture, problem decomposition, swarm robotics
List of contributors:
Hölzl, Matthias; Koch, Nora; Puviani, Mariachiara; Wirsing, Martin; Zambonelli, Franco
Authors of the University:
ZAMBONELLI Franco
Handle:
https://iris.unimore.it/handle/11380/1074468
Book title:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Published in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
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