CS2125 Paper Review Form - Winter 2018

Reviewer: Mikhail Berezovskiy

Paper Title: Lifting Model Transformations to Product Lines

Author(s): Rick Salay, Michalis Famelis, Julia Rubin, Alessio Di Sandro, Marsha Chechik

1) Is the paper technically correct?
 [v] Yes
 [ ] Mostly (minor flaws, but mostly solid)
 [ ] No

2) Originality
 [ ] Very good (very novel, trailblazing work)
 [v] Good 
 [ ] Marginal (very incremental)
 [ ] Poor (little or nothing that is new)

3) Technical Depth
 [ ] Very good (comparable to best conference papers)
 [v] Good (comparable to typical conference papers)
 [ ] Marginal depth
 [ ] Little or no depth

4) Impact/Significance
 [ ] Very significant
 [v] Significant
 [ ] Marginal significance.
 [ ] Little or no significance.

5) Presentation
 [ ] Very well written
 [v] Generally well written
 [ ] Readable
 [ ] Needs considerable work
 [ ] Unacceptably bad

6) Overall Rating
 [ ] Strong accept (award quality)
 [v] Accept (high quality - would argue for acceptance)
 [ ] Weak Accept (borderline, but lean towards acceptance)
 [ ] Weak Reject (not sure why this paper was published)


7) Summary of the paper's main contribution and rationale for your recommendation. (1-2 paragraphs)
	The idea of the paper applying model transformations on Product Line by itself rather than Products is 
a rational consequence of the changing sophisticated and future rich Product Lines. 
	The approach of "lifting" model transformation by extending validation and proposition formula provides more 
accurate transformation rules application and cover major concerns of manipulating of Product Lines.


8) List 1-3 strengths of the paper.  (1-2 sentences each,
identified as S1, S2, S3.)
 - The introduction part is well written, with a clear problem statement, reasoning. Problem linked to a solution.
 - The algorithm is simple and straightforward, also looks applicable based on case study applied in a paper

9) List 1-3 weaknesses of the paper (1-2 sentences each,
identified as W1, W2, W3.)
 - I would like to see more explanations about how do we do "lifting", in particular, lift of Fapply (propositional formula)
 - The results are a little bit scattered and hard to conclude positive effect from provided tables, graphs, numbers