  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 document new issues and keep track of
outstanding ones, in addition to storing their technical details, effort
estimates, assignment to developers, and more. Previous work utilised the
historical information stored in issue management systems for various purposes;
however, when researchers make their empirical data public, it is usually
relevant solely to the study's objective. In this paper, we present a more
holistic and versatile dataset containing a wealth of information on more than
500,000 issues from 44 open-source Agile software, making it well-suited to
several research avenues, and cross-analyses therein, including effort
estimation, issue prioritization, issue assignment and many more. We make this
data publicly available on GitHub to facilitate ease of use, maintenance, and
extensibility.
