Software testing is one of the most important phases in the software development life cycle.
Software testing cannot ensure successful outcomes until and unless done perfectly. For …

A large number of software reliability growth models (SRGMs) have been studied to estimate
the reliability of software systems over the past 40 years. Different models have been …

Software reliability is estimated using software reliability growth models. In the last few
decades, numerous software reliability growth models (SRGMs) have been established …

Purpose Code smells indicate deep software issues. They have been studied by
researchers with different perspectives. The need to study code smells was felt from the …

Code Smells have been detected, predicted and studied by researchers from several
perspectives. This literature review is conducted to understand tools and algorithms used to …

Code Smell is a piece of code that is designed and implemented poorly and it gives adverse
effect on the software quality and maintenance. Now, a day's machine learning based …

Software reliability plays a vital role in the today's world as dependency on software system
increases day by day. To determine reliability, various software reliability growth models …

Predictive analytics is concerned with making predictions of future outcomes based on past
data using data statistics, machine learning, dynamic models and filtering algorithms. This …

Predictive analytics aims to build machine learning models to predict behavior patterns and
use predictions to guide decision-making. Predictive analytics is human involved, thus the …

Defects entering software systems due to bad programming practice during evolution and
maintenance are termed code smells. Smells impacts software at design, architectural and …