Artificial intelligence (AI) is one of the emerging technologies. In recent decades, artificial
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …

Correctly adhering to the processes within the software development life cycle (SDLC), from
analysis and design to coding and testing, is vital for ensuring the successful and efficient …

Technical debt (TD) is commonly used to indicate additional costs caused by quality
compromises that can yield short-term benefits in the software development process, but …

Vulnerability prediction facilitates the development of secure software, as it enables the
identification and mitigation of security risks early enough in the software development …

Despite the acknowledged importance of quantitative security assessment in secure
software development, current literature still lacks an efficient model for measuring internal …

INTRODUCTION: Human computer interaction (HCI) interprets the design model and the
uses of computer technology which focuses on the interface between the user and the …

Nowadays, the continuously evolving open-source community and the increasing demands
of end users are forming a new software development paradigm; developers rely more on …

The use of quality software is of importance to stakeholders and its demand is on the
increase. This work focuses on meeting software quality from the user and developer's …

Context: Software quality engineering is increasingly gaining interests also in the Model-
Driven Engineering community as testified by a large corpus of research that has been …

Technical Debt (TD) is commonly used in practice as a measure of software quality. Due to
the potential overlap between software quality and software security, an interesting topic is …