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 …

Automated Static Warning Identification via Path-based Semantic Representation

Y Zhang, Y Xing, G Li, Z Jin - arXiv preprint arXiv:2306.15568, 2023 - arxiv.org
Despite their ability to aid developers in detecting potential defects early in the software
development life cycle, static analysis tools often suffer from precision issues (ie, high false …

MetaLog: Generalizable Cross-System Anomaly Detection from Logs with Meta-Learning

C Zhang, T Jia, G Shen, P Zhu, Y Li - Proceedings of the IEEE/ACM 46th …, 2024 - dl.acm.org
Log-based anomaly detection plays a crucial role in ensuring the stability of software.
However, current approaches for log-based anomaly detection heavily depend on a vast …

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] Automatically Annotating Decompiled Code with Meaningful Names and Types

J Lacomis - 2023 - reports-archive.adm.cs.cmu.edu
Software reverse engineering is the problem of understanding the behavior of a program
without access to its source code. Since there is no source code, analysts must use the …

[PDF][PDF] Deep Bug Reports Processing (DBRP): A Systematic Literature Review

AA Ahmad, L Yu, M Kholief, K Haruna - 2023 - researchgate.net
Many software projects utilize Bug Tracking System (BTS) to manage and process bug
reports. Over the years, the number of bug report submissions has largely increased with …

Adaptive Cross-Project Bug Localization with Graph Learning

V Arumugam - 2022 - uwspace.uwaterloo.ca
Bug localization is the process of identifying the source code files associated with a bug
report. This is important because it allows developers to focus their efforts on fixing the bugs …

Analysis of dataset in private cloud for cloud forensics using eucalyptus and hadoop

MS Patil, B Ainapure - 2019 international conference on smart …, 2019 - ieeexplore.ieee.org
At present, in most of the areas of research, development and daily usage, almost all
platforms and service providers are dependent on cloud computing. To achieve scalability …