Delivering high-quality software products is a challenging task. It needs proper coordination
from various teams in planning, execution, and testing. Many software products have high …

Covid-19 pandemic has seriously affected the mankind with colossal loss of life around the
world. There is a critical requirement for timely and reliable detection of Corona virus …

The proper prognosis of treatment response is crucial in any medical therapy to reduce the
effects of the disease and of the medication as well. The mortality rate due to hepatitis c virus …

Context: Software engineering researchers have undertaken many experiments
investigating the potential of software defect prediction algorithms. Unfortunately some …

The issue of harnessing machine learning (ML) algorithms for the prediction of adverse
medical events is important considering the prevalence of vast repositories of patient-level …

Maintaining large and complex software is a significant task in IT industry. One reason for
that is the development of code smells which are design flaws that lead to future bugs and …

Abstract Software Defect Prediction (SDP) is crucial for enhancing software quality and
minimizing issues after release. The advent of machine learning, particularly in Cross …

This research contributes an intelligent cloud-based software defect prediction system using
data and decision-level machine learning fusion techniques. The proposed system detects …

The software engineering field has long focused on creating highquality software despite
limited resources. Detecting defects before the testing stage of software development can …

Software defect prediction models are of great importance in software testing, however, they
also face the problem of model uninterpretability. Association rules have good accuracy and …