| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6948164 | Information and Software Technology | 2018 | 44 Pages |
Abstract
Conclusion: By using multi-objective optimization, MULTI can perform significantly better than the state-of-the-art supervised and unsupervised methods in the three performance evaluation scenarios. The results confirm that supervised methods are still promising in effort-aware JIT-SDP.
Related Topics
Physical Sciences and Engineering
Computer Science
Human-Computer Interaction
Authors
Xiang Chen, Yingquan Zhao, Qiuping Wang, Zhidan Yuan,