Automatic extraction of the main terminology used in empirical software engineering through text mining techniques

ABSTRACT

The need for an explicit common terminology within Empirical Software Engineering (an ESE-Glossary of terms) was highlighted in the ISERN 2007 meeting [2]. The goal was to define a glossary of terms related to ESE based on an initial glossary published in http://lens-ese.cos.ufrj.br/wikiese. This initial glossary was built manually, based on expert knowledge. However, owing to the dynamic nature of the research works in ESE, this glossary must be dynamically updated with information extracted from the relevant documents in the research domain. Automation is, therefore, mandatory. We propose a text mining technique for the automatic extraction of the most relevant terms used in ESE documents. Our technique also provides the relationships between terms, with the degree of affinity between them. Our approach could, therefore, be useful in the improvement of the initial glossary of terms and in discovering relationships between terms.

REFERENCES

• 1: Basili, V., Briand L. (eds). 2008 Empirical Software Engineering Journal. Vol 13. Springer.
• 2: Travassos, G., Barker, M. 2007, Experimental Software Engineering Glossary of Terms, ISERN 2007
• 3: Widyantoro D., Yen J. 2001 Incorporating fuzzy ontology of term relations in a search engine, Proceedings of the BISC Int. Workshop on Fuzzy Logic and the Internet, (Berkeley, USA), FLINT'01. 155--160.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
          Subjects: Linguistic processing

Additional Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
      D.2.0 General
          Subjects: Standards

General Terms:
Documentation, Standardization

Keywords:
glossary, ontologies, text mining