Software defect prediction is one of the most popular research topics in software
engineering. It aims to predict defect‐prone software modules before defects are discovered …

Software fault prediction (SFP) aims to improve software quality with a possible minimum
cost and time. Various machine learning models have been proposed in the past for …

The COVID-19 pandemic, which first spread to the People of Republic of China and then to
other countries in a short time, affected the whole world by infecting millions of people and …

Context Software defect prediction is important to ensure the quality of software. Nowadays,
many supervised learning techniques have been applied to identify defective instances (eg …

Software defect prediction aims to determine whether a software module is defect-prone by
constructing prediction models. The performance of such models is susceptible to the high …

Software industries strive for software quality improvement by consistent bug prediction, bug
removal and prediction of fault-prone module. This area has attracted researchers due to its …

Software defect prediction provides development groups with observable outcomes while
contributing to industrial results and development faults predicting defective code areas can …

Abstract Retraction:[Muhammad Shafiq, Fatemah H. Alghamedy, Nasir Jamal, Tahir Kamal,
Yousef Ibrahim Daradkeh, Mohammad Shabaz, Scientific programming using optimized …

The performance of software defect prediction (SDP) models depend on the quality of
considered software features. Redundant features and irrelevant features may reduce the …

Landslide displacement prediction is essential to establish the early warning system (EWS).
According to the dynamic characteristics of landslide evolution and the shortcomings of the …