Software fault prediction using an RNN-based deep learning approach and ensemble machine learning techniques

E Borandag - Applied Sciences, 2023 - mdpi.com
Alongside the modern software development life cycle approaches, software testing has
gained more importance and has become an area researched actively within the software …

Semantic and traditional feature fusion for software defect prediction using hybrid deep learning model

A Abdu, Z Zhai, HA Abdo, R Algabri, MA Al-Masni… - Scientific Reports, 2024 - nature.com
Software defect prediction aims to find a reliable method for predicting defects in a particular
software project and assisting software engineers in allocating limited resources to release …

Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning

M Ali, T Mazhar, A Al-Rasheed, T Shahzad… - PeerJ Computer …, 2024 - peerj.com
Effective software defect prediction is a crucial aspect of software quality assurance,
enabling the identification of defective modules before the testing phase. This study aims to …

Software defect prediction using an intelligent ensemble-based model

M Ali, T Mazhar, Y Arif, S Al-Otaibi, YY Ghadi… - IEEE …, 2024 - ieeexplore.ieee.org
Software defect prediction plays a crucial role in enhancing software quality while achieving
cost savings in testing. Its primary objective is to identify and send only defective modules to …

[HTML][HTML] Cross-project software defect prediction based on the reduction and hybridization of software metrics

A Abdu, Z Zhai, HA Abdo, S Lee, MA Al-masni… - Alexandria Engineering …, 2025 - Elsevier
Cross-project defect prediction (CPDP) plays an essential role in identifying potential defects
in target projects, especially those with limited historical data, using relevant information …

Online boosting-based target identification among similar appearance for person-following robots

R Algabri, MT Choi - Sensors, 2022 - mdpi.com
It is challenging for a mobile robot to follow a specific target person in a dynamic
environment, comprising people wearing similar-colored clothes and having the same or …

A study on the relevance of semantic features extracted using BERT-based language models for enhancing the performance of software defect classifiers

A Briciu, G Czibula, M Lupea - Procedia Computer Science, 2023 - Elsevier
In the context of new research in the software defect prediction (SDP) task using pre-trained
language models, the present study aims to analyze the relevance of semantic features …

Graph-Based Feature Learning for Cross-Project Software Defect Prediction

A Abdu, Z Zhai, HA Abdo… - Computers, Materials …, 2023 - repository.hanyang.ac.kr
Cross-project software defect prediction (CPDP) aims to enhance defect prediction in target
projects with limited or no historical data by leveraging information from related source …

Software Defect Prediction Based on Deep Representation Learning of Source Code From Contextual Syntax and Semantic Graph

A Abdu, Z Zhai, HA Abdo… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Software defect prediction approaches play an essential role in the software development
life cycle to help developers predict defects early, thus, preventing wasted time and effort …

Predicting Software Defects in Hybrid MPI and OpenMP Parallel Programs Using Machine Learning

AS Althiban, HM Alharbi, LA Al Khuzayem, FE Eassa - Electronics, 2023 - mdpi.com
High-performance computing (HPC) and its supercomputers are essential for solving the
most difficult issues in many scientific computing domains. The proliferation of computational …