activity
20172022
most citedConnecting Software Metrics across Versions to Predict Defects

7 citations · 17 across the 6 of their papers we have counts for

collaborators

7 papers

cs.SE2022

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…

cs.SE2021

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…

cs.LG20203 cited

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…

cs.SE2020

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…

cs.SE20197 cited

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.…

cs.SE2018

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…