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[REVIEW]: mathlib: A Scala package for readable, verifiable and sustainable simulations of formal theory #6049
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@bzz and @larkz - Thanks for agreeing to review this submission. As you can see above, you each should use the command As you go over the submission, please check any items that you feel have been satisfied. There are also links to the JOSS reviewer guidelines. The JOSS review is different from most other journals. Our goal is to work with the authors to help them meet our criteria instead of merely passing judgment on the submission. As such, reviewers are encouraged to submit issues and pull requests on the software repository. When doing so, please mention We aim for reviews to be completed within about 2-4 weeks. Please let me know if either of you require some more time. We can also use editorialbot (our bot) to set automatic reminders if you know you'll be away for a known period of time. Please feel free to ping me (@danielskatz) if you have any questions/concerns. |
👋 @bzz and @larkz - Just a brief reminder that you will need to use the command |
👋 @bzz and @larkz - I would appreciate it if you would use the command |
Review checklist for @bzzConflict of interest
Code of Conduct
General checks
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Review checklist for @larkzConflict of interest
Code of Conduct
General checks
Functionality
Documentation
Software paper
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@editorialbot generate pdf |
Thank you so much for your effort in providing this very interesting piece of code. Disclaimer: This review is provided by an individual fairly experienced in Scala and JVM development, along with having a good grasp of probability theory. While I have rudimentary knowledge of set theory and graph theory, I am not super-familiar with 'formal theory' or prior work in Blokpoel, M., & van Rooij, I. (2021). Lines 6-9: Regarding the phrases, "These methods allow scientists to ‘conceptually analyze, specify, and formalize intuitions that otherwise remain unexamined…" and "…They make otherwise underspecified theories precise and open for critical reflection." This wording is rather vague, and it could apply to anything. For instance:
It would be beneficial to provide a more specific explanation of what constitutes formal theory and offer concrete examples. Line 14: It is recommended to omit "cannot (easily)" for precision. If a problem cannot be solved, the predictions are not "derived" but rather "approximated." Additionally, defining the term "easily" is essential – does it refer to computational time savings, memory efficiency, or ease of problem formulation for coders? Lines 15-20: The author contends that Scala is an ideal language for modelling mathematical expressions. Concrete examples, especially for those unfamiliar with Scala, would enhance the clarity of this assertion. Line 25: While the claim about backwards compatibility is generally valid, it would be beneficial to elaborate on how this constitutes a tremendous advantage over other programming languages. Backwards compatibility is a common goal for many languages/frameworks; is mathlib notably more robust in this aspect compared to others? Lines 28-27: The argument seems to be that Scala's functional programming nature, resembling mathematical language, is its primary advantage. Is this the sole advantage, and are there any trade-offs in terms of runtime? A comparison with a non-functional language like Java, highlighting concrete improvements in Scala, would provide a stronger stance. Lines 46-47: Again, similar to Line 25, a more nuanced discussion about the uniqueness of backwards compatibility in Scala compared to other languages/frameworks would be beneficial. Line 51: Resources:
And for the ones that are “not yet available”, I would expect to see more of them become available, especially for the purposes of this review, so that I (and other users) can get a quicker grasp of how to use the framework, and its potential advantages. The repository should be complete work, with core examples, not work-in-progress. Additional Comments: Even though the paper is supposed to be concise, there is room for improvement in the clarity of the exposition. Enhancing the presentation would allow readers, potentially lacking expertise in formal theory, to quickly understand the novelty and technical contributions of the software, which currently remain unclear and challenging to ascertain. |
@larkz thank you very much for the invaluable feedback. I'm out of office for the next two weeks, but will reply to your suggestions when I get back as soon as possible. @danielskatz regarding the linked repository with the examples and tutorial: @larkz rightly points out these are still under development. I can fix the bugs with running the notebooks, but I perceived these as a separate academic contribution, next to the mathlib library (potentialy suitable when finished for publication in the sibling Journal of Open Source Education. Your advise as editor would be most welcome. |
👋 @markblokpoel - sorry I missed this somehow...
I think there are two potentially separable things:
So, perhaps you can separate and mark the work that is part of this submission, and that reviewers (and users) can rely on today to help them understand the software, and what is work-in-progress that will provide more support but isn't part of the minimum needed to start using the software. |
@markblokpoel - did my comment above make sense? Does this seem reasonable? |
👋🏼 @danielskatz, I'm waiting for @markblokpoel to address my previous comments in the paper. And I look forward to seeing the updated code with examples 😃 . |
Dear @danielskatz and @larkz, Thanks so much for your feedback! @danielskatz your suggestions are reasonable, I'll try to clarify this in my revision. @larkz I still need to find time to answer your feedback, I'm wrapping up my teaching for this semester and expect to have time for this early February. I appreciate your patience! |
👋 @markblokpoel - any news on your updates? |
@markblokpoel - My suggested changes are in markblokpoel/mathlib#19. Please merge this, or let me know what you disagree with, then we can proceed. |
@editorialbot generate pdf |
@danielskatz I've accepted your suggestions, thank you for this! We can proceed. |
@markblokpoel - At this point could you:
I can then move forward with accepting the submission. |
@danielskatz Here are the items:
Hope I did this correctly, please let me know if the release and deposit are in order. |
@editorialbot set v0.9.1 as version |
Done! version is now v0.9.1 |
@editorialbot set 10.5281/zenodo.12819230 as archive |
Done! archive is now 10.5281/zenodo.12819230 |
@editorialbot recommend-accept |
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👋 @openjournals/csism-eics, this paper is ready to be accepted and published. Check final proof 👉📄 Download article If the paper PDF and the deposit XML files look good in openjournals/joss-papers#5674, then you can now move forward with accepting the submission by compiling again with the command |
@editorialbot accept |
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🐘🐘🐘 👉 Toot for this paper 👈 🐘🐘🐘 |
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Thanks @danielskatz 🥳 |
@markblokpoel - the DOI seems to be having some problems, so I'm going to leave this open until it's working. In the meantime, however: Congratulations on your publication!! And thanks to @larkz, @stephenfmann, and @drussellmrichie for reviewing! |
@editorialbot reaccept Let's see if there was just a transient error, since Crossref (where the DOIs are registered) has all green status currently. |
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🌈 Paper updated! New PDF and metadata files 👉 openjournals/joss-papers#5676 |
Ok, this DOI is now registered and working, so I'm going to close this issue and end this process - thanks all again!! |
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Submitting author: @markblokpoel (Mark Blokpoel)
Repository: https://github.com/markblokpoel/mathlib
Branch with paper.md (empty if default branch): joss
Version: v0.9.1
Editor: @danielskatz
Reviewers: @larkz, @stephenfmann, @drussellmrichie
Archive: 10.5281/zenodo.12819230
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