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.
|Data di pubblicazione:||2015|
|Titolo:||The Ensemble Development Life Cycle and Best Practices for Collective Autonomic Systems|
|Autore/i:||Hölzl, Matthias; Koch, Nora; Puviani, Mariachiara; Wirsing, Martin; Zambonelli, Franco|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1007/978-3-319-16310-9_9|
|Serie:||LECTURE NOTES IN COMPUTER SCIENCE|
|Titolo del libro:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Citazione:||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.|
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