[EN] Learning in AI planning tries to recognize past conducts to predict features that help improve action models. We propose a constraint programming approach for learning the temporal features, i.e., the distribution of ...

Financial markets use complex computer trading systems whose failures can cause serious economic damage, making reliability a major concern. Automated random testing has been shown to be useful in nding defects in these ...

Web services run in complex contexts where arising events may compromise the quality of the whole system. Thus, it is desirable to count on autonomic mechanisms to guide the self-adaptation of service compositions according ...

[ES] Este trabajo estudia el problema de secuenciación en máquinas paralelas no relacionadas con tiempos de cambio dependientes de la máquina y de la secuencia de proceso de los trabajos. Se estudiarán diversas soluciones ...