Traceability Recovery Using Numerical Analysis

  • Authors:
  • Giovanni Capobianco;Andrea De Lucia;Rocco Oliveto;Annibale Panichella;Sebastiano Panichella

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • WCRE '09 Proceedings of the 2009 16th Working Conference on Reverse Engineering
  • Year:
  • 2009

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Abstract

The paper proposes a novel Information Retrieval technique based on numerical analysis for recovering traceability links between code and software documentation. The results of a reported case study demonstrate that the proposed approach significantly outperforms two vector-based IR models, i.e., the Vector Space Model and Latent Semantic Indexing, and it is comparable and sometimes better than a probabilistic model, i.e., the Jensen-Shannon method. The paper also discusses the influence of each method with the specific artifact type considered and the artifact language.