Da Huo

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—Bug reports are crucial software artifacts for both software maintenance researchers and practitioners. A typical use of bug reports by researchers is to evaluate automated software maintenance tools: a large repository of reports is used as input for a tool, and metrics are calculated from the tool's output. But this process is quite different from(More)
The objective of this study was to investigate the method of the combination of radiological and textural features for the differentiation of malignant from benign solitary pulmonary nodules by computed tomography. Features including 13 gray level co-occurrence matrix textural features and 12 radiological features were extracted from 2,117 CT slices, which(More)
SUMMARY Bug reports are crucial software artifacts for both software maintenance researchers and practitioners. A typical use of bug reports by researchers is to evaluate automated software maintenance tools: a large repository of reports is used as input for a tool, and metrics are calculated from the tool's output. But this process is quite different from(More)
There has been work to provide preservation mechanisms that aim to capture the results of computational experiments. However, these preservation environments concern themselves with preserving the computational replication of numeric results rather than context of the calculation that is demanded for scientifically reproducible and extensible results. This(More)
Because of growing demand to preserve and share reproducible computational experiments in scientific community, there has been interest in using Docker Linux Containers as a preservation mechanism. However, this is insufficient to help researches to comprehend " Dockerized " experiments and connect computational artifacts with concepts in peer-reviewed(More)
This paper presents an overview and early results of our project to build a framework for integrating, aggregating, and analyzing heterogeneous personal data streams to build persona and use it to recognize evolving personal situation. Using increasing volumes of heterogeneous personal data streams, we recognize first movements and personal situations for(More)
With the proliferation of mobile devices and multimedia, videos have become an indispensable part of life-logs for personal experiences. In this paper, we present a real-time and interactive mobile application for home video summarization on mobile devices. The main challenge of this method is lack of information about the video content in the following(More)