With the ever‐growing adoption of artificial intelligence (AI)‐based systems, the carbon
footprint of AI is no longer negligible. AI researchers and practitioners are therefore urged to …

Representative sampling appears rare in empirical software engineering research. Not all
studies need representative samples, but a general lack of representative sampling …

Software Engineering (SE) researchers are increasingly paying attention to organizational
and human factors. Rather than focusing only on variables that can be directly measured …

Context: Several tertiary studies have criticized the reporting of software engineering
secondary studies. Objective: Our objective is to identify guidelines for reporting software …

This paper explores the adoption of Generative Artificial Intelligence (AI) tools within the
domain of software engineering, focusing on the influencing factors at the individual …

Context: The domain of rural areas, including rural communities, agriculture, and forestry, is
going through a process of deep digital transformation. Digitalisation can have positive …

Background: The literature concerning research methodologies and methods has increased
in software engineering in the last decade. However, there is limited guidance on selecting …

Scrum teams are at the heart of the Scrum framework. Nevertheless, an integrated and
systemic theory that can explain what makes some Scrum teams more effective than others …

Organizations are increasingly adopting Agile frameworks for their internal software
development. Cost reduction, rapid deployment, requirements and mental model alignment …

Research has repeatedly shown that high-quality requirements are essential for the success
of development projects. While the term “quality” is pervasive in the field of requirements …