Background: Software defect prediction models aim at identifying the potential faulty
modules of a software project based on historical data collected from previous versions of …

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 …

Software defect prediction aims to identify potentially defective software modules to better
allocate limited quality assurance resources. Practitioners often do this by utilizing …

Abstract Software Defect Prediction (SDP) is crucial for ensuring software quality. However,
class imbalance (CI) poses a significant challenge in predictive modeling. This study delves …

Software is the heart of over 99% of all modern-day devices which include smartphones,
personal computers, internet of things (IoT) networks, etc. This software is built by a team of …

Sažetak Cilj predviđanja pogrešaka u izvornom programskom kôdu je otkrivanje
neispravnih programskih modula kako bi se što bolje alocirali ograničeni resursi za …

Анотація Здійснено оцінювання та виконано аналіз літературних джерел, в яких
досліджено методи машинного навчання для прогнозування дефектів програмного …

These days, software is ingrained in every part of our life, so it's highly likely to be flawed.
Software Defect Prediction (SDP) predicts both front-end and back-end flaws, among other …

Cross-project refactoring prediction is prominent research that comprises model training
from one project database and testing it for a database under a separate project. While …