On Integrating Orthogonal Information Retrieval Methods to Improve Traceability Link Recovery - Online Appendix
This web page is a companion to our 27th IEEE/ACM International Conference on Software Maintenance (ICSM'11) submission entitled "On Integrating Orthogonal Information Retrieval Methods to Improve Traceability Link Recovery."
Gethers, M., Oliveto, R., Poshyvanyk, D., and De Lucia, A., "On Integrating Orthogonal Information Retrieval Methods to Improve Traceability Link Recovery", in Proc. of 27th IEEE International Conference on Software Maintenance (ICSM'11), Williamsburg, VA, September 25 – 30, 2011, pp. 133-142 (28% acceptance rate) [pdf][slides]
Data
Term-by-Document Matrix | Oracle | |
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EasyClinic-ENG |
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eTour-ENG |
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EasyClinic-ITA |
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eTour-ITA |
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EAnci |
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SMOS |
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Results
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Average precision results for combinations of all Information Retrieval techniques and all software systems.
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Principal Component Analysis results evaluating all Information Retrieval techniques on all software systems.
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Overlap results for combinations of all Information Retrieval techniques and all software systems.
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Analysis of lambda results for all software systems.
Main Collaborating Institutions
Participants
- Malcom Gethers
E-mail:
Affiliation: College of William & Mary, USA - Rocco
Oliveto
E-mail:
Affiliation: University of Salerno, Italy - Denys Poshyvanyk
E-mail:
Affiliation: College of William & Mary, USA - Andrea De
Lucia
E-mail:
Affiliation: University of Salerno, Italy
We gratefully acknowledge financial support from the NSF on this research project.