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 FREECODE. 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 FREECODE, respectively. In terms of Recall@5 and Recall@10, averaging across the 4 datasets, ENTAGREC improves TAGCOMBINE, which is the state of the art approach, by 27.3% and 12.9% respectively.
Original language | English |
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Title of host publication | 30th International Conference on Software Maintenance and Evolution (ICSME'14), Victoria, BC, Canada, September 28-October 3, 2014 |
Publisher | IEEE Computer Society |
Pages | 291-300 |
ISBN (Print) | 978-0-7695-5303-0 |
DOIs | |
Publication status | Published - 2014 |
Event | 30th International Conference on Software Maintenance and Evolution (ICSME 2014) - Victoria, Canada Duration: 28 Sept 2014 → 3 Oct 2014 Conference number: 30 |
Conference
Conference | 30th International Conference on Software Maintenance and Evolution (ICSME 2014) |
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Abbreviated title | ICSME 2014 |
Country/Territory | Canada |
City | Victoria |
Period | 28/09/14 → 3/10/14 |