Studying how a software system has evolved over time is difficult, time consuming, and costly; existing techniques are often limited in their applicability, are hard to extend, a...
The increasing amount of data available about software systems poses new challenges for re- and reverse engineering research, as the proposed approaches need to scale. In this con...
Artificial Neural Networks are universal and highly flexible function approximators first used in the fields of cognitive science and engineering. In recent years, Neural Networks...
Distributed applications must often consider and select the appropriate trade-offs among three important aspects ? fault-tolerance, performance and resources. We introduce a novel ...
We present a new forward chaining planner, TALplanner, based on ideas developed by Bacchus [5] and Kabanza [11], where domain-dependent search control knowledge represented as tem...