The labor intensive aspects of simulation development and maintenance make exploration of reuse essential. However, reuse is generally difficult to achieve in practice due to infl...
Joseph C. Carnahan, Paul F. Reynolds Jr., David C....
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
Context. Strategic release planning (sometimes referred to as road-mapping) is an important phase of the requirements engineering process performed at product level. It is concern...
Mikael Svahnberg, Tony Gorschek, Robert Feldt, Ric...
NK models provide a family of tunably rugged fitness landscapes used in a wide range of evolutionary computation studies. It is well known that the average height of local optima...
Benjamin Skellett, Benjamin Cairns, Nicholas Geard...
This paper provides two contributions to the study of programming languages and middleware for real-time and embedded applications. First, we present the empirical results from ap...