Title

EnTagRec: An Enhanced Tag Recommendation System for Software Information Sites

Publication Type

Conference Proceeding Article

Publication Date

10-2014

Abstract

Software engineers share experiences with modern technologies by means of software information sites, such as Stack Overflow. These sites allow developers to label posted content, referred to as software objects, with short descriptions, known as tags. However, tags assigned to objects tend to be noisy and some objects are not well tagged. To improve the quality of tags in software information sites, we propose EnTagRec, an automatic tag recommender based on historical tag assignments to software objects and we evaluate its performance on four software information sites, Stack Overflow, Ask Ubuntu, Ask Different, and Free code. We observe that that EnTagRec achieves Recall@5 scores of 0.805, 0.815, 0.88 and 0.64, and Recall@10 scores of 0.868, 0.876, 0.944 and 0.753, on Stack Overflow, Ask Ubuntu, Ask Different, and Free code, respectively. In terms of Recall@5 and Recall@10, averaging across the 4 datasets, EnTagRec improves Tag Combine, which is the state of the art approach, by 27.3% and 12.9% respectively.

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

2014 IEEE International Conference on Software Maintenance and Evolution (ICSME): 28 September - 3 October 2014, Victoria, Canada

First Page

291

Last Page

300

Identifier

10.1109/ICSME.2014.51

Publisher

IEEE

City or Country

Piscataway, NJ

Additional URL

http://dx.doi.org/10.1109/ICSME.2014.51