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Experimenting with information retrieval methods in the recovery of feature-code SPL traces

  • Tassio Vale
  • Eduardo Santana de Almeida
Article
  • 5 Downloads

Abstract

Context

The information retrieval research provides alternatives to recover traces from existing software information. In the software product line (SPL) engineering context, further research on information retrieval methods is required to explore the existence of products’ source code and support the SPL adoption by providing traceability information.

Objective

This work evaluates the methods’ retrieval quality targeting the extraction of feature-code trace links in a set of variant-rich software development projects.

Method

We propose a research method comprising two experiments with five information retrieval methods (Classic vector, Latent semantic indexing, Neural network, Extended boolean and BM25), applied to forty-one projects. The SPLTrac suite automates the research operation, using the information retrieval methods results as input to perform a five-step quantitative data analysis procedure based on parametric and non-parametric statistical techniques. The quality measurement is expressed by four dependent variables: precision, recall, F-measure and execution time.

Results

With a homogeneous result for execution time between methods, there are discrepancies for the other metrics. While Extended boolean presents the best results for precision and F-measure, BM25 provides the greatest recall results.

Conclusions

Such evidence indicates there is not a dominant method in terms of retrieval quality, since they need further improvements to achieve better performance in all quality perspectives.

Keywords

Software product lines Software traceability Information retrieval Controlled-experiment 

Notes

References

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Center of Exact Sciences and TechnologyFederal University of Recôncavo da BahiaSalvadorBrazil
  2. 2.Computer Science DepartmentFederal University of BahiaSalvadorBrazil

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