62 citations · 195 across the 10 of their papers we have counts for
10 papers
Matching Weak Informative Ontologies
Peng Wang
Most existing ontology matching methods utilize the literal information to discover alignments. However, some literal information in ontologies may be opaque and some ontologies ma…
Clone Detection on Large Scala Codebases
Wahidur Rahman, Yisen Xu, Fan Pu +7
Code clones are identical or similar code segments. The wide existence of code clones can increase the cost of maintenance and jeopardise the quality of software. The research comm…
PyART: Python API Recommendation in Real-Time
Xincheng He, Lei Xu, Xiangyu Zhang +3
API recommendation in real-time is challenging for dynamic languages like Python. Many existing API recommendation techniques are highly effective, but they mainly support static l…
IEO: Intelligent Evolutionary Optimisation for Hyperparameter Tuning
Yuxi Huan, Fan Wu, Michail Basios +3
Hyperparameter optimisation is a crucial process in searching the optimal machine learning model. The efficiency of finding the optimal hyperparameter settings has been a big conce…
Prioritizing documentation effort: Can we do better?
Shiran Liu, Zhaoqiang Guo, Yanhui Li +5
Code documentations are essential for software quality assurance, but due to time or economic pressures, code developers are often unable to write documents for all modules in a pr…
MAT: A simple yet strong baseline for identifying self-admitted technical debt
Zhaoqiang Guo, Shiran Liu, Jinping Liu +5
In the process of software evolution, developers often sacrifice the long-term code quality to satisfy the short-term goals due to specific reasons, which is called technical debt.…
METTLE: a METamorphic testing approach to assessing and validating unsupervised machine LEarning systems
Xiaoyuan Xie, Zhiyi Zhang, Tsong Yueh Chen +3
Unsupervised machine learning is the training of an artificial intelligence system using information that is neither classified nor labeled, with a view to modeling the underlying…
Connecting Software Metrics across Versions to Predict Defects
Yibin Liu, Yanhui Li, Jianbo Guo +2
Accurate software defect prediction could help software practitioners allocate test resources to defect-prone modules effectively and efficiently. In the last decades, much effort…
Link Prediction in Social Networks: the State-of-the-Art
Peng Wang, Baowen Xu, Yurong Wu +1
In social networks, link prediction predicts missing links in current networks and new or dissolution links in future networks, is important for mining and analyzing the evolution…
A Feature Subset Selection Algorithm Automatic Recommendation Method
Guangtao Wang, Qinbao Song, Heli Sun +3
Many feature subset selection (FSS) algorithms have been proposed, but not all of them are appropriate for a given feature selection problem. At the same time, so far there is rare…