Energy-based anomaly detection a new perspective for predicting software failures

Cristina Monni, Mauro Pezzè. Energy-based anomaly detection a new perspective for predicting software failures. In Anita Sarma, Leonardo Murta, editors, Proceedings of the 41st International Conference on Software Engineering: New Ideas and Emerging Results, ICSE (NIER) 2019, Montreal, QC, Canada, May 29-31, 2019. pages 69-72, IEEE / ACM, 2019. [doi]

Abstract

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