Performance Evaluation of various ML techniques for Software Fault Prediction using NASA dataset
B Alsangari, G BİRCİK - 2023 5th International Congress on …, 2023 - ieeexplore.ieee.org
In order to improve software dependability, Software Fault Prediction (SFP) has become an
important research topic in the area of software engineering. To improve program …
important research topic in the area of software engineering. To improve program …
AI-Enabled Predictive Analytics for Proactive Maintenance in IoT Systems
HS Chawla, K Veerasamy, SR Patil… - … and Informatics (IC3I …, 2023 - ieeexplore.ieee.org
Wind turbine operations and maintenance expenditures have always been a significant
burden, with the majority of money spent on unforeseen unorganized failures, fixes, and …
burden, with the majority of money spent on unforeseen unorganized failures, fixes, and …
An empirically based object-oriented testing using Machine learning
P Sindhu, GS Peruri, M Yalavarthi - EAI Endorsed Transactions …, 2024 - publications.eai.eu
INTRODUCTION: The rapid growth of machine learning has the potential to revolutionize
various industries and applications by automating complex tasks and enhancing efficiency …
various industries and applications by automating complex tasks and enhancing efficiency …
MLD: An Intelligent Memory Leak Detection Scheme Based on Defect Modes in Software
L Yuan, S Zhou, P Pan, Z Wang - Entropy, 2022 - mdpi.com
With the expansion of the scale and complexity of multimedia software, the detection of
software defects has become a research hotspot. Because of the large scale of the existing …
software defects has become a research hotspot. Because of the large scale of the existing …