On Formal Methods for Collective Adaptive System Engineering. Scalable Approximated, Spatial Analysis Techniques. Extended Abstract.
In this extended abstract a view on the role of Formal Methods in System Engineering is briefly presented. Then two examples of useful analysis techniques based on solid mathematical theories are discussed as well as the software tools which have been built for supporting such techniques. The first...
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Series: | Electronic Proceedings in Theoretical Computer Science |
Online Access: | http://arxiv.org/pdf/1607.02233v1 |
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doaj-28f6975858224a0d83ca3876de32827f2020-11-24T23:28:53ZengOpen Publishing AssociationElectronic Proceedings in Theoretical Computer Science2075-21802016-07-01217Proc. FORECAST 2016536110.4204/EPTCS.217.7:7On Formal Methods for Collective Adaptive System Engineering. Scalable Approximated, Spatial Analysis Techniques. Extended Abstract.Diego Latella0 CNR-ISTI In this extended abstract a view on the role of Formal Methods in System Engineering is briefly presented. Then two examples of useful analysis techniques based on solid mathematical theories are discussed as well as the software tools which have been built for supporting such techniques. The first technique is Scalable Approximated Population DTMC Model-checking. The second one is Spatial Model-checking for Closure Spaces. Both techniques have been developed in the context of the EU funded project QUANTICOL.http://arxiv.org/pdf/1607.02233v1 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Diego Latella |
spellingShingle |
Diego Latella On Formal Methods for Collective Adaptive System Engineering. Scalable Approximated, Spatial Analysis Techniques. Extended Abstract. Electronic Proceedings in Theoretical Computer Science |
author_facet |
Diego Latella |
author_sort |
Diego Latella |
title |
On Formal Methods for Collective Adaptive System Engineering. Scalable Approximated, Spatial Analysis Techniques. Extended Abstract. |
title_short |
On Formal Methods for Collective Adaptive System Engineering. Scalable Approximated, Spatial Analysis Techniques. Extended Abstract. |
title_full |
On Formal Methods for Collective Adaptive System Engineering. Scalable Approximated, Spatial Analysis Techniques. Extended Abstract. |
title_fullStr |
On Formal Methods for Collective Adaptive System Engineering. Scalable Approximated, Spatial Analysis Techniques. Extended Abstract. |
title_full_unstemmed |
On Formal Methods for Collective Adaptive System Engineering. Scalable Approximated, Spatial Analysis Techniques. Extended Abstract. |
title_sort |
on formal methods for collective adaptive system engineering. scalable approximated, spatial analysis techniques. extended abstract. |
publisher |
Open Publishing Association |
series |
Electronic Proceedings in Theoretical Computer Science |
issn |
2075-2180 |
publishDate |
2016-07-01 |
description |
In this extended abstract a view on the role of Formal Methods in System Engineering is briefly presented. Then two examples of useful analysis techniques based on solid mathematical theories are discussed as well as the software tools which have been built for supporting such techniques. The first technique is Scalable Approximated Population DTMC Model-checking. The second one is Spatial Model-checking for Closure Spaces. Both techniques have been developed in the context of the EU funded project QUANTICOL. |
url |
http://arxiv.org/pdf/1607.02233v1 |
work_keys_str_mv |
AT diegolatella onformalmethodsforcollectiveadaptivesystemengineeringscalableapproximatedspatialanalysistechniquesextendedabstract |
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