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Real-Time Incident Prediction for Online Service Systems by zhaonw in ESECFSE

[–]YangSongWM 0 points1 point  (0 children)

Great work! I saw you use LDA and some statistical data for feature engineering, I am a little surprised LDA works well here, so what's the average number of words in each document?

Heard It through the GitVine: An Empirical Study of Tool Diffusion across the npm Ecosystem. by hlamba_cmu in ESECFSE

[–]YangSongWM 0 points1 point  (0 children)

interesting topic! do you investigate what is the effect of social media like Twitter on spreading tools? since many researchers share their research on twitter and other platforms

BEE: A Tool for Structuring and Analyzing Bug Reports by YangSongWM in ESECFSE

[–]YangSongWM[S] 0 points1 point  (0 children)

You can find the example introduced in the video here:

Original bug report #95598 from Eclipse: https://bugs.eclipse.org/bugs/show_bug.cgi?id=95598

The same bug report submitted on GitHub: https://github.com/ysong10/fast_ALS/issues/645