Concept location using formal concept analysis and information retrieval

  title={Concept location using formal concept analysis and information retrieval},
  author={Denys Poshyvanyk and Malcom Gethers and Andrian Marcus},
  journal={ACM Trans. Softw. Eng. Methodol.},
The article addresses the problem of concept location in source code by proposing an approach that combines Formal Concept Analysis and Information Retrieval. In the proposed approach, Latent Semantic Indexing, an advanced Information Retrieval approach, is used to map textual descriptions of software features or bug reports to relevant parts of the source code, presented as a ranked list of source code elements. Given the ranked list, the approach selects the most relevant attributes from the… CONTINUE READING
Highly Cited
This paper has 87 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 57 extracted citations

Supporting exploratory code search with differencing and visualization

2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER) • 2018
View 7 Excerpts
Highly Influenced

NL-based query refinement and contextualized code search results: A user study

2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE) • 2014
View 6 Excerpts
Highly Influenced

88 Citations

Citations per Year
Semantic Scholar estimates that this publication has 88 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-2 of 2 references

Similar Papers

Loading similar papers…