Summary: “Software Trajectory Analysis” (STA) is a knowledge discovery workflow through which researchers and practitioners can discover recurrent behaviors associated with observed software development activities.
STA implements a data-mining framework for knowledge discovery from software processes artifacts. By arranging software process artifacts and applying temporal indexing and partitioning, it facilitates creation of a variety of viewing perspectives on the performed processes. Further, by applying data mining tools, it allows extraction of frequent, rare and significant behaviors, through which researchers and practitioners could gain insight on the performed processes activities as well as on the roles of individuals performers and groups.
Principal researcher(s): Pavel Senin
Publications: Citations and publications
Project page: http://code.google.com/p/hackystat-ui-trajectory/
Status: 2009 – 2014