Software projects need a strong programming team, time, cost, and experience to succeed.
In many software projects, the project progress factors need to be better provided, and the …

Software defect pose significant challenges in the development and maintenance of
software systems, leading to increased costs and potential quality issues. In this research …

The goal of this study is to predict a software error using Long Short-Term Memory (LSTM).
The suggested system is an LSTM taught using the Whale Optimization Algorithm to save …

In the field of early prediction of software defects, various techniques have been developed
such as data mining techniques, machine learning techniques. Still early prediction of …

Software Defect Prediction (SDP) method plays a vital role to ensure the software quality by
predicting bugs in software development phase. In addition, this technique also assists …

In this research, the defects in the software are predicted using the deep CNN classifier by
effectively optimising the classifier using spiderhunt optimisation. The effective …

Software defect prediction (SDP) is the emerging research direction, which attains significant
consideration among the advanced research community. The SDP is utilized to evaluate the …

It is natural for the developed software to contain some defects and errors. The important
issue is to detect these errors. Tests play an important role in detecting errors, but this is not …

By creating an effective prediction model, SDP helps to find the possible problems in recent
components of software earlier. The model's effectiveness was harmed by characteristics …

The software is applied in various areas so the quality of the software is very important. The
software defect prediction (SDP) is used to solve the software issues and enhance the …