• Publications
  • Influence
Quality and productivity outcomes relating to continuous integration in GitHub
TLDR
We use large, historical data on process metrics and outcomes in GitHub projects to discern the effects of one specific innovation in process automation: continuous integration. Expand
  • 222
  • 19
  • PDF
DAG-GNN: DAG Structure Learning with Graph Neural Networks
TLDR
We propose a graph-based deep generative model and apply a variant of the structural constraint to learn the DAG. Expand
  • 53
  • 15
  • PDF
Reviewer Recommender of Pull-Requests in GitHub
TLDR
We propose a reviewer recommender to predict highly relevant reviewers of incoming PRs, which can reduce the time between the submission of a PR and the actual review of it. Expand
  • 86
  • 8
  • PDF
Classification of Cytochrome P450 Inhibitors and Noninhibitors Using Combined Classifiers
TLDR
In this study, inhibitor predicting models were developed for five major CYP isoforms, namely 1A2, 2 C9, 2C19, 2D6, and 3A4, using a combined classifier algorithm on a large data set containing more than 24,700 unique compounds, extracted from PubChem. Expand
  • 122
  • 6
  • PDF
Wait for It: Determinants of Pull Request Evaluation Latency on GitHub
TLDR
The pull-based development model, enabled by git and popularised by collaborative coding platforms like Bit Bucket, Gitorius, and GitHub, is widely used in distributed software teams. Expand
  • 117
  • 6
  • PDF
Reviewer recommendation for pull-requests in GitHub: What can we learn from code review and bug assignment?
TLDR
We extend three typical approaches used in bug triaging and code review for the new challenge of assigning reviewers to pull-requests, and propose a novel approach by mining each project's comment networks. Expand
  • 128
  • 5
  • PDF
Empirical studies of information visualization: a meta-analysis
  • C. Chen, Y. Yu
  • Computer Science
  • Int. J. Hum. Comput. Stud.
  • 1 November 2000
TLDR
We conduct a meta-analysis of information visualization studies in order to capture the current theories and practices in empirical examinations. Expand
  • 173
  • 4
  • PDF
Determinants of pull-based development in the context of continuous integration
TLDR
The pull-based development model, widely used in distributed software teams on open source communities, can efficiently gather the wisdom from crowds. Expand
  • 29
  • 4
  • PDF
Minimum distance constrained non-negative matrix factorization for the endmember extraction of hyperspectral images
  • Y. Yu, W. Sun
  • Geography, Engineering
  • International Symposium on Multispectral Image…
  • 14 November 2007
Endmember extraction and spectral unmixing is a very challenging task in multispectral/hyperspectral image processing due to the incompleteness of information. In this paper, a new method forExpand
  • 29
  • 4
Text Steganography System Using Markov Chain Source Model and DES Algorithm
TLDR
This paper presents a text steganography system for spelling languages. Expand
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  • 4
  • PDF
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