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IR in Software Traceability: From a Bird's Eye View

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Author

Summary, in English

Several researchers have proposed creating after-the-fact structure among software artifacts using trace recovery based on Information Retrieval (IR). Due to significant variation points in previous studies, results are not easily aggregated. Aim. We aim at an overview picture of the outcome of previous evaluations. Method. Based on a systematic mapping study, we perform a synthesis of published research.

Results. Our synthesis shows that there are no empirical evidence that any IR model outperforms another model consistently. We also display a strong dependency between the Precision and Recall (P-R) values and the input datasets. Finally, our mapping of P-R values on the possible output space highlights the difficulty of recovering accurate trace links using naïve cut-off strategies. Conclusion. Based on our findings, we stress the need for empirical evaluations beyond the basic P-'race'.

Publishing year

2013

Language

English

Publication/Series

Proceedings of the 7th International Symposium on Empirical Software Engineering and Measurement

Document type

Conference paper

Topic

  • Computer Science

Keywords

  • empirical software engineering
  • software traceability
  • information retrieval
  • secondary study

Conference name

7th International Symposium on Empirical Software Engineering and Measurement

Conference date

2013-10-10

Conference place

Baltimore, Maryland, United States

Status

Published

Project

  • Embedded Applications Software Engineering