期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2019
卷号：2240
页码：150-155
出版社：Newswood and International Association of Engineers
摘要：A high number of IT organizations have
problems when deploying their services, this alongside with the
high number of services that organizations have daily, makes
Incident Management (IM) process quite demanding. An
effective IM system need to enable decision makers to detect
problems easily otherwise the organizations can face
unscheduled system downtime and/or unplanned costs. By
predicting these problems, the decision makers can better
allocate resources and mitigate costs. Therefore, this research
aims to help predicting those problems by looking at the
history of past deployments and incident ticket creation and
relate them by using machine learning algorithms to predict
the number of incidents of a certain deployment. This research
aims to analyze the results with the most used algorithms
found in the literature.
