RCA Prediction using Machine Learning

H Lalwani, R Gupta, S Srivastava… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
System developers and administrators are heavily dependent on log files for getting the
system information in the event of any failure or disaster. Products that are built on layered …

A survey on hardware failure prediction of servers using machine learning and deep learning

N Georgoulopoulos, A Hatzopoulos… - … on Modern Circuits …, 2021 - ieeexplore.ieee.org
As modern server systems increase in volume and density, more and more hardware
failures are generated, resulting in system breakdown. The conventional mechanisms for …

A Systematic Study on Machine Learning Techniques for Predicting Software Faults

TS Kumar, B Booba - 2021 IEEE Mysore Sub Section …, 2021 - ieeexplore.ieee.org
Fault tolerance and prediction are some of the interesting quality assurance activities of
software engineering. Fault prediction algorithms assist the project manager in identifying …

Genetic Algorithm for feature selection in enhancing the hard disk failure prediction using artificial neural network

M Sobhana, GSS Preethi, KB Sujitha… - … Conference on Industry …, 2022 - ieeexplore.ieee.org
The usage of smart devices has increased with advancements in the information technology
(IT) sector. These devices need to exchange information to communicate among them. So …

Static code metrics-based deep learning architecture for software fault prediction

S Goyal - Soft Computing, 2022 - Springer
Software fault prediction (SFP) refers to the early prediction of fault-prone modules in
software development which are susceptible to faults and can incur high development cost …

Application of Failure Prediction via Ensemble Techniques

A Harshitha, DSL Pravallika, D Chandana… - Machine Learning and …, 2022 - Springer
Fault is considered one of the most common issues in the software life cycle. Some of these
errors are not identified during the testing phase, causing problems throughout the …

[引用][C] Log Files Based Prediction of Failure Types using Deep Learning Models

N Patel - 2018

Automated log classification using deep learning

S Ramachandran, R Agrahari, P Mudgal… - Procedia Computer …, 2023 - Elsevier
Abstract System logs are a rich source of information. The complexity and amount of data
contained in log files is increasing rapidly, especially with the development of cloud …

Software Defect Prediction for Reliability Analysis Using Machine Learning Approach

PB Baronia, C Gupta - … IEEE International Conference on ICT in …, 2023 - ieeexplore.ieee.org
Ensuring software dependability is of utmost importance in today's technology-driven world,
given the increasing significance of software and the potential consequences of defects …

A deep neural network based feature learning method for well log interpretation

L Bao, X Cao, C Yu, G Zhang, W Zhou - … on Internet of Things as a Service, 2020 - Springer
Well log interpretation is an important task in the process of petroleum logging. It is able to
help the researchers to determine the residual oil volume and to improve the petroleum …