In the last decades, various Software Development Lifecycle (SDLC) models have been
developed to meet the different needs and challenges in the software industry. The purpose …

Agile methodologies have been an emerging choice of software professionals for the past
decade and a half. However, apart from this, some other SDLC models are also available for …

The implementation of software development strategies while developing a software is
important for a project's roadmap. In traditional methods, the project is defined before the …

Background: With the growing advances in the digital world, software development
demands are increasing at an exponential rate. To ensure reliability of the software, high …

This paper presents the adaptive software security model, an innovative approach
integrating the MAPE-K loop and the Software Development Life Cycle (SDLC). It proactively …

This paper proposes a novel concept of using defect management technology to measure,
predict, and optimize the management of the entire software project cycle. It first utilizes the …

The software defect prediction method based on requirement specification is proposed to
address the defect prediction needs in the requirements phase when the organization …

This research explores the application of three distinct machine learning algorithms—
Random Forest, Logistic Regression, and KNeighbors—to predict software faults. These …

Abstract The pivotal role Ed-Tech facilitates as an industry is increasing in education. As
education evolves, the emergence of Ed-Tech in the classroom, data collection, curriculum …

A software fault prediction system ensures that software is bug-free during the development
and testing phases before it is put into production (Azeem et al. in Inf Softw Technol 108: 115 …