AUTOMATED DETECTION OF CODE REGRESSIONS FROM TIME-SERIES DATA

作者: Nicolae Andrei , Nigam Rahul , Menon Vinod Mukundan , Gilbert Mark Raymond

DOI:

关键词:

摘要: In non-limiting examples of the present disclosure, systems, methods and devices for detecting classifying service issues associated with a cloud-based are presented. Operational event data plurality operations application may be monitored. A statistical-based unsupervised machine learning model applied to operational data. subset tagged as potentially being code regression, wherein comprises time series neural network data, flagged follow-up if classifies relating positive regression category.

参考文章(6)
Rafał Pokrywka, Reducing False Alarm Rate in Anomaly Detection with Layered Filtering international conference on computational science. pp. 396- 404 ,(2008) , 10.1007/978-3-540-69384-0_45
Ashish Premaraj, Smita Ojha, Olga Ivanova, Venkat Narayanan, Yi Wang, Art Sadovsky, Lei He, Detection of outage in cloud based service using usage data based error signals ,(2014)
Amit Pande, Vishal Ahuja, WEAC: Word embeddings for anomaly classification from event logs 2017 IEEE International Conference on Big Data (Big Data). pp. 1095- 1100 ,(2017) , 10.1109/BIGDATA.2017.8258034
Vijayendra Kumar Gupta, Mallikarjun Tallapragada, Rahul Jain, None, Software analytics platform ,(2019)
Caballero Iii Oswaldo Carlos, Burke Maximilian Louis, Preventative remediation of services ,(2019)