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This is a question posed by Prof. Minghui Zhou from Peking University.
In my view, at this juncture, we can undertake the following actions:
We can compute the distribution of a specific metric across projects within the same domain, then identify projects where certain metrics deviate significantly.
Through data analysis and a comprehensive literature review, we might uncover the reasons behind these deviations and provide recommendations that are supported by both academic and industry consensus. Importantly, the literature review need not be confined to academic papers; practical guides like those from the Linux Kernel may offer more compelling insights.
We can reach out to the project manager or raise an issue within the project, offering our observations and suggestions, then seek their feedback.
We can collect feedback and iterate continuously, forming an evaluation and early warning system, thereby improving our accuracy over time.
I believe we can complete the first round within a month.
At present, we can collaborate on a literature review. Do you have any specific reading materials to recommend?
We can write in the same online document. We need Prof. Liang Wang to provide some suggestions to form a framework of it.
The text was updated successfully, but these errors were encountered:
(The topic remains under discussion)
This is a question posed by Prof. Minghui Zhou from Peking University.
In my view, at this juncture, we can undertake the following actions:
I believe we can complete the first round within a month.
At present, we can collaborate on a literature review. Do you have any specific reading materials to recommend?
We can write in the same online document. We need Prof. Liang Wang to provide some suggestions to form a framework of it.
The text was updated successfully, but these errors were encountered: