LOPFSEJul 7, 2016

Proceedings of the Workshop on FORmal methods for the quantitative Evaluation of Collective Adaptive SysTems

arXiv:1607.02001v11 citations
AI Analysis

It targets software engineering and formal methods communities to raise awareness of CAS-specific design and control problems, but is incremental as it focuses on workshop proceedings without presenting new results.

The paper addresses the need for quantitative modeling and analysis of Collective Adaptive Systems (CAS) to investigate their behavior before deployment, emphasizing the combination of formal methods and applied mathematics that scale to large-scale systems.

Collective Adaptive Systems (CAS) consist of a large number of spatially distributed heterogeneous entities with decentralised control and varying degrees of complex autonomous behaviour that may be competing for shared resources even when collaborating to reach common goals. It is important to carry out thorough quantitative modelling and analysis and verification of their design to investigate all aspects of their behaviour before they are put into operation. This requires combinations of formal methods and applied mathematics which moreover scale to large-scale CAS. The primary goal of FORECAST is to raise awareness in the software engineering and formal methods communities of the particularities of CAS and the design and control problems which they bring.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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