Learning actionable analytics from multiple software projects

Actionable Analytics for Software Engineering

A Quality Model for Actionable Analytics in Rapid Software Development

Background: Accessing relevant data on the software product, process, and usage as well as integrating and analysing it is crucial to get reliable and timely actionable insights for continuously managing software quality in Rapid Software Development (RSD). In this context, several software analytics tools have been developed in recent years. However, there is a lack of explainable software ana...

Applications of Psychological Science for Actionable Analytics

Actionable analytics are those that humans can understand, and operationalize. What kind of data mining models generate such actionable analytics? According to psychological scientists, humans understand models that most match their own internal models, which they characterize as lists of “heuristic” (i.e., lists of very succinct rules). One such heuristic rule generator is the Fast-andFrugal T...

Learning from open source software projects to improve scientific review

Peer-reviewed publications are the primary mechanism for sharing scientific results. The current peer-review process is, however, fraught with many problems that undermine the pace, validity, and credibility of science. We highlight five salient problems: (1) reviewers are expected to have comprehensive expertise; (2) reviewers do not have sufficient access to methods and materials to evaluate ...

Constructionist Learning in Software Engineering Projects

On the verge of the information society of the next millenium we are looking for innovative learning scenarios to prepare students for their future professions including the challenge of lifelong learning. In this article we describe our software engineering class which is designed as an open, self-directed, constructionist learning scenario in the context of authentic problems. The concept of ...