An increasingly popular set of techniques adopted by software engineering (SE)
researchers to automate development tasks are those rooted in the concept of Deep …

Context: Over the last decade, Agile methods have changed the software development
process in an unparalleled way and with the increasing popularity of Big Data, optimizing …

Although there has been substantial research in software analytics for effort estimation in
traditional software projects, little work has been done for estimation in agile projects …

The rise of Artificial intelligence (AI) has the potential to significantly transform the practice of
project management. Project management has a large socio-technical element with many …

Artificial Intelligence (AI) has become a core feature of today's real-world applications,
making it a trending topic within the software engineering (SE) community. The rise in the …

Context: Cloud computing's rise as the primary platform for software development and
delivery is largely driven by the potential cost savings. However, it is surprising that no …

Agile software development is nowadays a widely adopted practise in both open-source and
industrial software projects. Agile teams typically heavily rely on issue management tools to …

In the last decade, several studies have explored automated techniques to estimate the
effort of agile software development. We perform a close replication and extension of a …

Learning representation for graph classification turns a variable-size graph into a fixed-size
vector (or matrix). Such a representation works nicely with algebraic manipulations. Here we …

Estimating the cost and schedule of agile software projects is critical at an early phase to
establish baseline budgets and schedules for the selection of competitive bidders. The …