Context Global software development (GSD) contains different context setting dimensions,
which are essential for effective teamwork and success of projects. Although considerable …

Empirical software engineering has produced a steady stream of evidence-based results
concerning the factors that affect important outcomes such as cost, quality, and interval …

Finding good configurations of a software system is often challenging since the number of
configuration options can be large. Software engineers often make poor choices about …

The guest editors of this special issue of IEEE Software invited submissions that reflected the
benefits (and drawbacks) of software analytics, an area of explosive growth. They had so …

More than half the literature on software effort estimation (SEE) focuses on comparisons of
new estimation methods. Surprisingly, there are no studies comparing state of the art latest …

Software analytics builds quality prediction models for software projects. Experience shows
that (a) the more projects studied, the more varied are the conclusions; and (b) project …

A software project has" Hero Developers" when 80% of contributions are delivered by 20%
of the developers. Are such heroes a good idea? Are too many heroes bad for software …

Time is central to the purported business value of analytics. Yet, research has adopted a
simplistic,'clock'interpretation of time, ignoring its complex and socially embedded nature …

Transfer learning: is the process of translating quality predictors learned in one data set to
another. Transfer learning has been the subject of much recent research. In practice, that …

Data Science for Software Engineering: Sharing Data and Models presents guidance and
procedures for reusing data and models between projects to produce results that are useful …