CS2125 Paper Review Form - Winter 2018

Reviewer: Or Aharoni

Paper Title: The Rise of the (Modelling) Bots: Towards Assisted Modelling via Social Networks 

Author(s): Sara Perez-Soler, Esther Guerra, Juan de LAra, and Francisco Jurado

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

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

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

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

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

6) Overall Rating
 [ ] Strong accept (award quality)
 [x] 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 paper is provided a modeling approach that allows all stakeholders, no matter of their 
modeling background and location, be involved in the modeling process. The approach uses 
social media, Twitter and Telegram, that allow user interact with each other directly, 
option 1, or through two modeling bots, dedicated to the project and the whole group can 
see, options 2.

This allows users to interact with each other directly just like a regular messages via 
social media, to ask questions or set meets. At the same time, this also allows users 
that have an idea, as they have them, and affect the modeling through the bot and everyone 
connect to the bot will see the message and the bot will process the message. The message 
will be either management command, querying information, or modeling update, both messages 
are done through Natural Language (NL).


8) List 1-3 strengths of the paper.  (1-2 sentences each,
identified as S1, S2, S3.)

S1 - This modeling approach uses people communication behavior to create modeling for 
projects. Social media is a norm today communication in some form or another and when we 
share an understanding of common and simple verbs like add, create, contain, remove, and 
to have. This was shown by the evaluation of non- native English speakers participants gave 
a rating of 74% of good usability. 

9) List 1-3 weaknesses of the paper (1-2 sentences each, identified as W1, W2, W3.)

W1 - Do the bot can handle and understand different slangs or spelling of English words, 
British, US or Canada.

W2 - the evaluation had a group of ten people with computer backgrounds. How would a larger 
and diverse group result. Is the larger group give a better result or knowledge in computer 
plays a role in the usability of the tool.