We are excited to announce that our paper “A Dictionary to Translate Change Tasks to Source Code” has been accepted for the 11th Working Conference on Mining Software Repositories (MSR 2014). In the paper, we present a novel approach for static concept location, which translates change tasks into source code elements via a dictionary. We demonstrate in an empirical analysis on four open source projects its effectiveness and improvement over a traditional static concept location approach.
We are excited to announce that our paper “Automatic Search Term Identification for Change Tasks” was accepted in the New Ideas and Emerging Results (NIER) track of the 36th International Conference on Software Engineering. In this research we investigated whether we can support developers in finding good search terms to query the source code in order to locate relevant places for a given change task. Based on existing work and an analysis of change tasks, we determined a set of heuristics for the identification of good search terms and analyzed their predictive value through logistic regression. Based on these results we developed a general and easy applicable approach that automatically identifies good search terms within a change task.