Mirko Perkusich

TL;DR: A procedure to detect problems of processes in software development projects using Bayesian networks is presented and successfully applied to Scrum-basedSoftware development projects.

TL;DR: The results indicate that the approach should be used by general practitioners whenever there is a suspicion that a patient has this type of cancer, and improved diagnosis accuracy compared to a CBR approach not using RBR in retrieval.

TL;DR: A smart trust management method, based on machine learning and an elastic slide window technique that automatically assesses the IoT resource trust, evaluating service provider attributes, was able to identify On-Off attackers and fault nodes with a precision up to 96% and low time consumption.

TL;DR: Overall, although the topic area is up-and-coming, for many areas of application, it is still in its infancy, so there is a need for more empirical studies, and there are a plethora of new opportunities for researchers.

TL;DR: A model-based approach for early validation of MCPS, focusing on promoting reusability and productivity, is proposed, which enables system developers to build MCPS formal models based on a library of patient and medical device models, and simulate the MCPS to identify undesirable behaviors at design time.