Abstract
Software traceability recovery has become more and more important to the software life cycle recent days with the increasing complexity of software system. However, it is a tedious and error-prone task by manual. Many researchers have devoted themselves in building and predicting traceability links. In this paper, we approach a novel method to calculate text similarity and improve our results by a learning to rank method. And a couple of experiments are conducted to verify our method.
| Original language | English |
|---|---|
| Article number | 052109 |
| Journal | IOP Conference Series: Materials Science and Engineering |
| Volume | 569 |
| Issue number | 5 |
| DOIs | |
| State | Published - 9 Aug 2019 |
| Event | 2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation, AMIMA 2019 - Zhuhai, China Duration: 17 May 2019 → 19 May 2019 |
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