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

Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in
industry. However, based on well over a dozen case studies, we have learned that …

Context: Agile methods have become mainstream even in large-scale systems engineering
companies that need to accommodate different development cycles of hardware and …

Background. The increasing reliance on applications with machine learning (ML)
components calls for mature engineering techniques that ensure these are built in a robust …

Software development companies are increasingly aiming to become data-driven by trying
to continuously experiment with the products used by their customers. Although familiar with …

Software companies have been using Design Thinking (DT) as a user-centered design
approach, putting the user at the center of the software development process. In this article …

Abstract Global Software Development (GSD) has gained great attention during the past
decade or so, and it is also being adopted by most of the software development …

Distributed Scrum adapts the Scrum project management framework for geographically
distributed software teams. Experimentally evaluating the effectiveness of Distributed Scrum …

Scrum, the most popular agile method and project management framework, is widely
reported to be used, adapted, misused, and abused in practice. However, not much is …

In the past decade, the modeling community has produced many feature-rich modeling
editors and tool prototypes not only for modeling standards but particularly also for many …