Condensing class diagrams with minimal manual labeling cost
Traditionally, to better understand the design of a project, developers can reconstruct a class diagram from source code using a reverse engineering technique. However, the raw diagram is often perplexing because there are too many classes in it. Condensing the reverse engineered class diagram into...
Saved in:
Main Authors: | YANG, Xinli, David LO, XIA, Xin, SUN, Jianling |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2016
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/3566 https://ink.library.smu.edu.sg/context/sis_research/article/4567/viewcontent/CondensingClassDiagramsMinCost_2016.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
LABEL EFFICIENT LEARNING BEYOND MANUAL ANNOTATIONS
by: LI JUNNAN
Published: (2019) -
TLEL: A two-layer ensemble learning approach for just-in-time defect prediction
by: YANG, Xinli, et al.
Published: (2017) -
Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events
by: Liu, Nan, et al.
Published: (2018) -
Estimating latent relative labeling importances for multi-label learning
by: He, Shuo, et al.
Published: (2020) -
ELBlocker: Predicting blocking bugs with ensemble imbalance learning
by: XIA, Xin, et al.
Published: (2015)