The probabilistic model checking landscape
JP Katoen - Proceedings of the 31st Annual ACM/IEEE Symposium …, 2016 - dl.acm.org
Randomization is a key element in sequential and distributed computing. Reasoning about
randomized algorithms is highly non-trivial. In the 1980s, this initiated first proof methods …
randomized algorithms is highly non-trivial. In the 1980s, this initiated first proof methods …
The PEPA eclipse plugin
M Tribastone, A Duguid, S Gilmore - ACM SIGMETRICS Performance …, 2009 - dl.acm.org
The PEPA Eclipse Plug-in supports the creation and analysis of performance models, from
small-scale Markov models to large-scale simulation studies and differential equation …
small-scale Markov models to large-scale simulation studies and differential equation …
Model checking mobile stochastic logic
The Temporal Mobile Stochastic Logic (MoSL) has been introduced in previous work by the
authors for formulating properties of systems specified in StoKlaim, a Markovian extension of …
authors for formulating properties of systems specified in StoKlaim, a Markovian extension of …
Towards a system model for ensembles
M Hölzl, M Wirsing - Formal Modeling: Actors, Open Systems, Biological …, 2011 - Springer
Ensembles—software-intensive systems with massive numbers of nodes or complex
interactions between nodes, operating in open and non-deterministic environments and …
interactions between nodes, operating in open and non-deterministic environments and …
Efficient modelling and generation of Markov automata
This paper introduces a framework for the efficient modelling and generation of Markov
automata. It consists of (1) the data-rich process-algebraic language MAPA, allowing …
automata. It consists of (1) the data-rich process-algebraic language MAPA, allowing …
Structural operational semantics for stochastic process calculi
A syntactic framework called SGSOS, for defining well-behaved Markovian stochastic
transition systems, is introduced by analogy to the GSOS congruence format for …
transition systems, is introduced by analogy to the GSOS congruence format for …
Code-dti: Collaborative deep learning-based drug-target interaction prediction
N Yasuo, Y Nakashima… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Drug-target interaction (DTI) prediction is a problem that identifies novel protein-ligand
interactions from previous information. DTI plays an important role in computer-aided drug …
interactions from previous information. DTI plays an important role in computer-aided drug …
Context, Composition, Automation, and Communication: The C2AC Roadmap for Modeling and Simulation
Simulation has become, in many application areas, a sine qua non. Most recently, COVID-
19 has underlined the importance of simulation studies and limitations in current practices …
19 has underlined the importance of simulation studies and limitations in current practices …
The attributed pi-calculus with priorities
M John, C Lhoussaine, J Niehren… - … Systems Biology XII …, 2010 - Springer
We present the attributed π− calculus for modeling concurrent systems with interaction
constraints depending on the values of attributes of processes. The λ-calculus serves as a …
constraints depending on the values of attributes of processes. The λ-calculus serves as a …
The attributed pi calculus
M John, C Lhoussaine, J Niehren… - … Computational Methods in …, 2008 - Springer
The attributed pi calculus (ϕ(\mathcalL)) forms an extension of the pi calculus with attributed
processes and attribute dependent synchronization. To ensure flexibility, the calculus is …
processes and attribute dependent synchronization. To ensure flexibility, the calculus is …