Enhancing Software Reliability through Naive Bayes-based Defect Prediction

P Dhavakumar, K Lakshmikant - 2024 - researchsquare.com
Software defects can be costly to fix and can lead to reduced system reliability, decreased
user satisfaction, and increased development time. To mitigate these risks, software defect …

Enhancing Software Reliability through Naive Bayes-based Defect Prediction

K Lakshmikant - 2024 - europepmc.org
Software defects can be costly to fix and can lead to reduced system reliability, decreased
user satisfaction, and increased development time. To mitigate these risks, software defect …

Practical development of an Eclipse-based software fault prediction tool using Naive Bayes algorithm

C Catal, U Sevim, B Diri - Expert Systems with Applications, 2011 - Elsevier
Despite the amount of effort software engineers have been putting into developing fault
prediction models, software fault prediction still poses great challenges. This research using …

[PDF][PDF] ANALYZING THE EFFECTIVENESS OF MACHINE LEARNING ALGORITHMS FOR SOFTWARE FAULT PREDICTION

J Goyal, RR Sinha - ijaconline.com
Software fault prediction is a critical task in software engineering that aims to identify and
prevent faults in software code before they occur. Machine learning algorithms have been …

An empirical study of robustness and stability of machine learning classifiers in software defect prediction

A Kaur, K Kaur - Advances in intelligent informatics, 2015 - Springer
Software is one of the key drivers of twenty first century business and society. Delivering
high quality software systems is a challenging task for software developers. Early software …

[PDF][PDF] The Subtle Art of Digging for Defects: Analyzing Features for Defect Prediction in Java Projects

G Santos, A Veloso, E Figueiredo - International Conference on …, 2022 - scitepress.org
The task to predict software defects remains a topic of investigation in software engineering
and machine learning communities. The current literature proposed numerous machine …

A novel Bayes defect predictor based on information diffusion function

Y Wu, S Huang, H Ji, C Zheng, C Bai - Knowledge-Based Systems, 2018 - Elsevier
Software defect prediction plays a significant part in identifying the most defect-prone
modules before software testing. Quite a number of researchers have made great efforts to …

A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools

J Pachouly, S Ahirrao, K Kotecha… - … Applications of Artificial …, 2022 - Elsevier
Delivering high-quality software products is a challenging task. It needs proper coordination
from various teams in planning, execution, and testing. Many software products have high …

[PDF][PDF] THE SYSTEMATIC REVIEW STUDY OF SIGNIFICANCE OF MACHINE LEARNING TECHNIQUES IN SOFTWARE DEFECT PREDICTION

A Kumar, MA Ansari - academia.edu
Software defects remain a critical challenge in the software development lifecycle, impacting
product quality, cost, and delivery time. Predicting and mitigating defects early in the …

[HTML][HTML] Software defect prediction with Bayesian approaches

MJ Hernández-Molinos, AJ Sánchez-García… - Mathematics, 2023 - mdpi.com
Software defect prediction is an important area in software engineering because it helps
developers identify and fix problems before they become costly and hard-to-fix bugs. Early …