The software engineering community is rapidly adopting machine learning for transitioning
modern-day software towards highly intelligent and self-learning systems. However, the …

Context: Automated software defect prediction (SDP) methods are increasingly applied,
often with the use of machine learning (ML) techniques. Yet, the existing ML-based …

Colon polyps have a greater chance of developing into colon cancer, and colonoscopy is
one of the most commonly used methods to detect colon polyps. However, the effectiveness …

Context: The software development industry is rapidly adopting machine learning for
transitioning modern day software systems towards highly intelligent and self-learning …

The software testing phase requires considerable time, effort, and cost, particularly when
there are many faults. Thus, developers focus on the evolution of Software Fault Prediction …

The quality compliance has become an aspect of big importance in the development of
software engineering, here the term 'defect metrics' comes in the prevention of errors …

Developing successful software with no defects is one of the main goals of software projects.
In order to provide a software project with the anticipated software quality, the prediction of …

Abstract Rider Optimization Algorithm (ROA)-based Deep Neural Network (DNN) model is
suggested for software fault detection purposes. The entire work is divided into three …

Code smell represents the level of human interpretability in a software project, which
becomes increasingly challenging as modern-day software projects grow in complexity …

TOM (stands for Theoretically Objective Measurements of Software Development Projects) is
a set of services that are in charge of helping developers or teams in the process of …