Name
Abstract | ||
|---|---|---|
We present a new approach for synthesising Paretooptimal Markov decision process (MDP) policies that satisfy complex combinations of quality-of-service (QoS) software requirements. These policies correspond to optimal designs or configurations of software systems, and are obtained by translating MDP models of these systems into parametric Markov chains, and using multi-objective genetic algorithms... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ASE51524.2021.9678727 | 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) |
Keywords | DocType | ISBN |
MDP policies,evolutionary algorithms,policy synthesis | Conference | 978-1-6654-0337-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Simos Gerasimou | 1 | 110 | 14.31 |
| Javier Cámara | 2 | 503 | 44.77 |
| Radu Calinescu | 3 | 905 | 63.01 |
| Naif Alasmari | 4 | 0 | 0.34 |
| Faisal Alhwikem | 5 | 2 | 0.70 |
| Xinwei Fang | 6 | 2 | 1.71 |