Landscape of automated log analysis: A systematic literature review and mapping study

Ł Korzeniowski, K Goczyła - IEEE Access, 2022 - ieeexplore.ieee.org
Logging is a common practice in software engineering to provide insights into working
systems. The main uses of log files have always been failure identification and root cause …

Augmenting log-based anomaly detection models to reduce false anomalies with human feedback

T Jia, Y Li, Y Yang, G Huang, Z Wu - Proceedings of the 28th ACM …, 2022 - dl.acm.org
With the increasing complexity of modern software systems, it is essential yet hard to detect
anomalies and diagnose problems precisely. Existing log-based anomaly detection …

AcLog: An Approach to Detecting Anomalies from System Logs with Active Learning

C Duan, T Jia, Y Li, G Huang - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Log-based anomaly detection is an essential aspect of maintaining software reliability,
particularly in the context of microservice systems. However, existing log-based anomaly …

Hilogx: noise-aware log-based anomaly detection with human feedback

T Jia, Y Li, Y Yang, G Huang - The VLDB Journal, 2024 - Springer
Log-based anomaly detection is essential for maintaining system reliability. Although
existing log-based anomaly detection approaches perform well in certain experimental …

Bugidentifier: An approach to identifying bugs via log mining for accelerating bug reporting stage

W Xia, Y Li, T Jia, Z Wu - 2019 IEEE 19th International …, 2019 - ieeexplore.ieee.org
Bugs severely damage the reliability of open source software. In order to improve the
reliability of open source software, bug tracking system is built to collect and manage bugs …

AFALog: A General Augmentation Framework for Log-based Anomaly Detection with Active Learning

C Duan, T Jia, H Cai, Y Li… - 2023 IEEE 34th …, 2023 - ieeexplore.ieee.org
Log-based anomaly detection is becoming more and more important for maintaining the
availability of modern microservice systems. Existing supervised/semi-supervised log …

[PDF][PDF] Updated DeLone and McLean IS success model and commercial open source software (COSS) company success

SD Garomssa, R Kannan, I Chai - Proceedings of the 10th …, 2021 - soc.uum.edu.my
ABSTRACT Commercial Open Source Software (COSS) is a promising business model as it
represents the middle ground between expensive proprietary software and free software …

Continuous debugging of microservices

H Zhu, I Bayley, H Wang - 2020 IEEE Intl Conf on Parallel & …, 2020 - ieeexplore.ieee.org
Debugging is one of the most difficult tasks during the development of cloud-native
applications for the microservices architecture. This paper proposes a continuous …

Exploring the Understanding of Cloud Computing Professionals' Awareness and Actions Related to Secure Cloud Computing

JC Helmus - 2022 - search.proquest.com
Cloud computing continues to be a highly sought-after resource for organizations looking to
become more innovative by having the ability to scale their ideas within minutes. These …

Time Series Forecasting of Database Workloads in Hybrid Cloud

R McDonald - 2021 - norma.ncirl.ie
The two biggest factors for the Enterprise in moving to a Public Cloud offering over existing
offerings are control of cost and ensuring availability. The challenge is to ensure that both …