To reduce the manual effort of assessing potential affected program parts during software evolution, we develop a tool, called Celadon, which automates the change impact analysis ...
The specification of model adaptation and generation rules is a topic of great interest for the user interface development community, since there are more and more approaches supp...
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
This paper illustrates ongoing research and issues faced when dealing with real-time questions in the domain of Reusable Launch Vehicles (aerospace engineering). The question-answ...
Anne Diekema, Ozgur Yilmazel, Jiangping Chen, Sara...
Autonomy, adaptability, scalability, and flexible communications are all attributes of agents and multi-agent systems which suggest that they may offer timely solutions for dealin...
Brendan Jennings, Rob Brennan, Rune Gustavsson, Ro...