A Generic Framework for Concept-Based Exploration of Semi-Structured Software Engineering Data

作者:Greene Gillian J*
来源:30th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW), 2015-11-09 To 2015-11-13.
DOI:10.1109/ASE.2015.34

摘要

Software engineering meta-data (SE data), such as revision control data, Github project data or test reports, is typically semi-structured; it comprises a mixture of formatted and free-text fields and is often self-describing. Semi-structured SE data cannot be queried in a SQL-like manner because of its lack of structure. Consequently, there are a variety of customized tools built to analyze specific datasets but these do not generalize. We propose to develop a generic framework for exploration and querying of semi-structured SE data. Our approach investigates the use of a formal concept lattice as a universal data structure and a tag cloud as an intuitive interface to support data exploration.

  • 出版日期2015