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

DOI 10.1109/ase.2015.34 dblp

Abstract

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.

BibTeX

@inproceedings{Greene:ASE15,
  author    = {Gillian J. Greene},
  title     = {A Generic Framework for {Concept-Based} Exploration of {Semi-Structured} Software Engineering Data},
  booktitle = {ASE},
  pages     = {894--897},
  publisher = {{IEEE} Computer Society},
  year      = {2015},
}

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

Abstract

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