LambdaConglomerate / x9115lam

2 stars 0 forks source link

Reading 8 #19

Closed aisobran closed 9 years ago

aisobran commented 9 years ago

For the next paper I suggest we choose one of these 3:

This one just sounds awesome because of the transfer learning approach, pretty much making it possible to predict defects in brand new projects: http://dl.acm.org/citation.cfm?id=2486839

This one may be good as it summarizes much of what we read and will be useful as we write out the final paper: http://dl.acm.org/citation.cfm?id=2486846

This one seems interesting as it splits defect prediction per developer to have a defect prediction model for each developer: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6693087&tag=1

meneal commented 9 years ago

I'm happy to go with any of these, but I think I favor the personalized defect prediction per developer paper. Seems like it would add something completely different than the other papers we've looked at so far. That said, like I noted in the other thread, I'm not sure whether we even need to do this or not.

On Tue, Oct 27, 2015 at 4:55 PM, Alexander Sobran notifications@github.com wrote:

For the next paper I suggest we choose one of these 3:

This one just sounds awesome because of the transfer learning approach, pretty much making it possible to predict defects in brand new projects: http://dl.acm.org/citation.cfm?id=2486839

This one may be good as it summarizes much of what we read and will be useful as we write out the final paper: http://dl.acm.org/citation.cfm?id=2486846

This one seems interesting as it splits defect prediction per developer to have a defect prediction model for each developer: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6693087&tag=1

— Reply to this email directly or view it on GitHub https://github.com/LambdaConglomerate/x9115lam/issues/19.

meneal commented 9 years ago

Anyone have any other thoughts on this or should we go with the personalized defect prediction paper?

ghost commented 9 years ago

I'm fine with any of the papers as long as it makes sense for our writing our final paper.

meneal commented 9 years ago

I'm going to start reading the personalized defect prediction one then.

ghost commented 9 years ago

Cool, I'll start reading this today.

On Wed, Nov 11, 2015 at 9:47 AM, Matthew Neal notifications@github.com wrote:

I'm going to start reading the personalized defect prediction one then.

— Reply to this email directly or view it on GitHub https://github.com/LambdaConglomerate/x9115lam/issues/19#issuecomment-155801664 .

Joseph Sankar (About Me) http://josephsankar.me Master of Computer Science, Class of 2016, North Carolina State University Bachelor's in Computer Science, Class of 2015, North Carolina State University

ghost commented 9 years ago

Here's a direct link to the paper: https://uwspace.uwaterloo.ca/bitstream/handle/10012/7786/Jiang_Tian.pdf?sequence=1

aisobran commented 9 years ago

Did you guys start of that paper yet? Just curious because Menzies will be talking about transfer learning in class and I think it would be cool to read the first paper. I will either way, just let me know.

meneal commented 9 years ago

I've already read that other paper. I'll post a write up or part of one tonight.

On Friday, November 13, 2015, Alexander Sobran notifications@github.com wrote:

Did you guys start of that paper yet? Just curious because Menzies will be talking about transfer learning in class and I think it would be cool to read the first paper. I will either way, just let me know.

— Reply to this email directly or view it on GitHub https://github.com/LambdaConglomerate/x9115lam/issues/19#issuecomment-156561117 .

meneal commented 9 years ago

I just pushed the writeup for this. Most everything is up there. It's missing 2 blocks for feature extraction and one keyword. Change anything or post if you disagree with anything I put up there.

ghost commented 9 years ago

Just pushed some more stuff, so now it should be pretty much ready for submission. One thing I was a bit confused about was on the second page it states that Tian Jiang is the only author, but the citation has three authors listed. Because the paper explicitly states it, I tried to change the wording to "author" instead of "authors" but I could have missed something. Have a look, and let me know what you think.

meneal commented 9 years ago

Honestly it doesn't really matter a whole lot since we don't actually need to submit this thing. I just figured we'd do this so that we could have these for reference when it comes time for the final paper. Do we get extra credit though if we do submit?

On Sat, Nov 14, 2015 at 8:53 PM, Joseph Sankar notifications@github.com wrote:

Just pushed some more stuff, so now it should be pretty much ready for submission. One thing I was a bit confused about was on the second page it states that Tian Jiang is the only author, but the citation has three authors listed. Because the paper explicitly states it, I tried to change the wording to "author" instead of "authors" but I could have missed something. Have a look, and let me know what you think.

— Reply to this email directly or view it on GitHub https://github.com/LambdaConglomerate/x9115lam/issues/19#issuecomment-156769861 .

ghost commented 9 years ago

I don't think so, since it looks like Menzies is expecting us to do these anyways. But it's something we can ask him tomorrow.

aisobran commented 9 years ago

I think we should submit, it shouldn't hurt.

ghost commented 9 years ago

Since other groups have already submitted and received credit for these readings, I went ahead and submitted.