[PDF][PDF] Cross project software defect prediction using machine learning: a review

MS Saeed, M Saleem - International Journal of Computational …, 2023 - researchgate.net
Software defect prediction is a crucial area of study focused on enhancing software quality
and cutting down on software upkeep expenses. Cross Project Defect Prediction (CPDP) is …

Analysis of feature selection methods in software defect prediction models

M Ali, T Mazhar, T Shahzad, YY Ghadi… - IEEE …, 2023 - ieeexplore.ieee.org
Improving software quality by proactively detecting potential defects during development is a
major goal of software engineering. Software defect prediction plays a central role in …

A novel software defect prediction approach via weighted classification based on association rule mining

W Wu, S Wang, B Liu, Y Shao, W Xie - Engineering Applications of Artificial …, 2024 - Elsevier
Software defect prediction technology is used to assist software practitioners in effectively
allocating test resources and identifying hidden defects in a timely manner. However, the …

Cross-project software defect prediction through multiple learning

YZ Bala, PA Samat, KY Sharif, N Manshor - Bulletin of Electrical …, 2024 - beei.org
Cross-project defect prediction is a method that predicts defects in one software project by
using the historical record of another software project. Due to distribution differences and the …

A Survey on Transfer Learning for Cross-Project Defect Prediction

B Sotto-Mayor, M Kalech - IEEE Access, 2024 - ieeexplore.ieee.org
Software defect prediction involves predicting which components in a software program, like
classes or functions, are likely to have defects, based on metrics that describe those …

A study on cross-project fault prediction through resampling and feature reduction along with source projects selection

P Manchala, M Bisi - Automated Software Engineering, 2024 - Springer
Abstract Software Fault Prediction is an efficient strategy to improve the quality of software
systems. In reality, there won't be adequate software fault data for a recently established …

Efficient Cross-Project Software Defect Prediction Based on Federated Meta-Learning

H Chen, L Yang, A Wang - Electronics, 2024 - mdpi.com
Software defect prediction is an important part of software development, which aims to use
existing historical data to predict future software defects. Focusing on the model …

The Effectiveness of Resampling Method for Handling Class Imbalances in Software Defect Prediction

M Abdullah, FA Setiawan - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Defect prediction is crucial for software products to be high-quality and reliable. Class
imbalance, however, in which one class does much better than the other, poses a significant …

Improving Software Defect Prediction Performance through Effective Forward Selection Method with Linear Regression for Handling Class Imbalance

M Abdullah, FA Setiawan - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
In software engineering, accurately predicting software defects is critical for maintaining
software quality and reducing development costs. This research aims to improve the …

[PDF][PDF] Insights of effectivity analysis of learning-based approaches towards software defect prediction.

D Rai, JA Prashant - International Journal of Electrical & …, 2024 - pdfs.semanticscholar.org
Software defect prediction is one of the essential sets of operation towards mitigating issues
of risk management in software development known to contribute towards enhancing the …