Improving self-adaptation planning through software architecture-based stochastic modeling
The ever-growing complexity of software systems makes it increasingly challenging to
foresee at design time all interactions between a system and its environment. Most self …
foresee at design time all interactions between a system and its environment. Most self …
[PDF][PDF] Improving Self-Adaptation Planning through Software Architecture-based Stochastic Modeling
JM Franco, F Correia, R Barbosa, M Zenha-Rela… - acme.able.cs.cmu.edu
The ever-growing complexity of software systems makes it increasingly challenging to
foresee at design time all interactions between a system and its environment. Most self …
foresee at design time all interactions between a system and its environment. Most self …
Improving self-adaptation planning through software architecture-based stochastic modeling
JM Franco, F Correia, R Barbosa… - Journal of Systems and …, 2016 - infona.pl
The ever-growing complexity of software systems makes it increasingly challenging to
foresee at design time all interactions between a system and its environment. Most self …
foresee at design time all interactions between a system and its environment. Most self …
Improving self-adaptation planning through software architecture-based stochastic modeling
JM Franco, F Correia, R Barbosa… - Journal of Systems and …, 2016 - dl.acm.org
We propose a formal automated approach to translate from an ADL to a DTMC. We address
issues of today self-adaptive systems. We assessed dynamically the impact of each strategy …
issues of today self-adaptive systems. We assessed dynamically the impact of each strategy …
Improving Self-Adaptation Planning through Software Architecture-based Stochastic Modeling
瓊oFrancoJo - Journal of Systems and Software, 2016 - acme.able.cs.cmu.edu
The ever-growing complexity of software systems makes it increasingly challenging to
foresee at design time all interactions between a system and its environment. Most self …
foresee at design time all interactions between a system and its environment. Most self …