Comments (12)
from joss-reviews.
Hello humans, I'm @editorialbot, a robot that can help you with some common editorial tasks.
For a list of things I can do to help you, just type:
@editorialbot commands
For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:
@editorialbot generate pdf
from joss-reviews.
Software report:
github.com/AlDanial/cloc v 1.88 T=0.18 s (1504.0 files/s, 252976.6 lines/s)
-------------------------------------------------------------------------------
Language files blank comment code
-------------------------------------------------------------------------------
C++ 76 2418 1807 17324
C/C++ Header 87 2016 867 10380
CSS 8 339 110 1348
Python 11 285 451 1253
reStructuredText 8 526 239 1000
YAML 8 37 28 681
make 30 164 124 607
SVG 1 0 0 520
Markdown 7 125 0 394
HTML 4 42 38 369
Bourne Shell 13 80 96 341
TeX 1 14 0 161
JavaScript 5 8 12 84
JSON 1 0 0 40
CMake 3 6 3 34
DOS Batch 1 8 1 26
-------------------------------------------------------------------------------
SUM: 264 6068 3776 34562
-------------------------------------------------------------------------------
gitinspector failed to run statistical information for the repository
from joss-reviews.
Wordcount for paper.md
is 956
from joss-reviews.
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.21105/joss.01370 is OK
- 10.1177/10943420221121151 is OK
- 10.1088/1364-7830/4/4/309 is OK
- 10.1080/00102208508960376 is OK
- 10.1145/1089014.1089020 is OK
- 10.1145/3539801 is OK
- 10.1016/j.parco.2021.102836 is OK
- 10.1080/13647830.2012.701019 is OK
- 10.1080/13647830.2017.1390610 is OK
- 10.1006/jcph.1998.5890 is OK
- 10.1080/00102209808915770 is OK
- 10.1016/j.jcp.2022.111305 is OK
- 10.1016/j.combustflame.2022.112286 is OK
MISSING DOIs
- None
INVALID DOIs
- None
from joss-reviews.
from joss-reviews.
@editorialbot add @muellerm-pu as reviewer
Hi all, happy to report that @muellerm-pu (Michael Mueller) has agreed to provide a third review for this submission.
from joss-reviews.
@muellerm-pu added to the reviewers list!
from joss-reviews.
Thank you all !
from joss-reviews.
Review checklist for @mameehan5
Conflict of interest
- I confirm that I have read the JOSS conflict of interest (COI) policy and that: I have no COIs with reviewing this work or that any perceived COIs have been waived by JOSS for the purpose of this review.
Code of Conduct
- I confirm that I read and will adhere to the JOSS code of conduct.
General checks
- Repository: Is the source code for this software available at the https://github.com/AMReX-Combustion/PeleLMeX?
- License: Does the repository contain a plain-text LICENSE file with the contents of an OSI approved software license?
- Contribution and authorship: Has the submitting author (@esclapez) made major contributions to the software? Does the full list of paper authors seem appropriate and complete?
- Substantial scholarly effort: Does this submission meet the scope eligibility described in the JOSS guidelines
- Data sharing: If the paper contains original data, data are accessible to the reviewers. If the paper contains no original data, please check this item.
- Reproducibility: If the paper contains original results, results are entirely reproducible by reviewers. If the paper contains no original results, please check this item.
- Human and animal research: If the paper contains original data research on humans subjects or animals, does it comply with JOSS's human participants research policy and/or animal research policy? If the paper contains no such data, please check this item.
Functionality
- Installation: Does installation proceed as outlined in the documentation?
- Functionality: Have the functional claims of the software been confirmed?
- Performance: If there are any performance claims of the software, have they been confirmed? (If there are no claims, please check off this item.)
Documentation
- A statement of need: Do the authors clearly state what problems the software is designed to solve and who the target audience is?
- Installation instructions: Is there a clearly-stated list of dependencies? Ideally these should be handled with an automated package management solution.
- Example usage: Do the authors include examples of how to use the software (ideally to solve real-world analysis problems).
- Functionality documentation: Is the core functionality of the software documented to a satisfactory level (e.g., API method documentation)?
- Automated tests: Are there automated tests or manual steps described so that the functionality of the software can be verified?
- Community guidelines: Are there clear guidelines for third parties wishing to 1) Contribute to the software 2) Report issues or problems with the software 3) Seek support
Software paper
- Summary: Has a clear description of the high-level functionality and purpose of the software for a diverse, non-specialist audience been provided?
- A statement of need: Does the paper have a section titled 'Statement of need' that clearly states what problems the software is designed to solve, who the target audience is, and its relation to other work?
- State of the field: Do the authors describe how this software compares to other commonly-used packages?
- Quality of writing: Is the paper well written (i.e., it does not require editing for structure, language, or writing quality)?
- References: Is the list of references complete, and is everything cited appropriately that should be cited (e.g., papers, datasets, software)? Do references in the text use the proper citation syntax?
from joss-reviews.
Hi @esclapez ,
I finished my first pass at a review. Overall, the paper and codebase look great! Below, I have a few comments with a few minor revisions before acceptance.
General checks:
- All of the required checks here pass, no major concerns or questions.
Functionality:
- There is a small bug installation instructions. I think there is a typo in the README where
cd PeleLMeX/Exec/RegTest/HotBubble
should becd PeleLMeX/Exec/RegTests/HotBubble
, right? Otherwise, all works well. - I have personally confirmed key functionality and performance claims, at least at a superficial level (e.g., it runs combustion simulations, highly scalable, etc.). Of course, given the enormous scope of combustion scenarios, I cannot test everything, and would recommend the authors continue adding tests that integrate different functionalities beyond this publication.
Documentation:
- A statement of need is needed in the repository, likely a couple of sentences in the README.
- Installation, examples, and functionality are all great.
- Automated tests are also good, but refer to previous comments.
- A small piece of documentation is needed specifically stating where to report issues and seek support. 1-2 sentences in the README should do the trick.
Software paper:
- The authors provide a great summary. One minor comment is there is an issue with the references on lines 35-36 producing double parentheses.
- The statement of need is in good shape but it should be expanded, particularly the last paragraph. Why do we need, specifically, PeleLMeX to study these fine scale interactions? What next-generation combustion devices are you referring to? Who is the target audience? While I think most readers may be able to infer these (e.g., AMR is required for dynamic, spatially-local flow features which sets it apart), these goals should be more clearly stated.
- The authors do a great job explaining the underlying software that supports PeleLMeX, but I think a little more context would be good, specifically including a couple other pieces of software that do similar things (e.g., PeleLM, OpenFOAM, Sierra/Fuego, Chord, etc.). Obviously this does not need to be a complete list, but there should be enough so the reader has a rough idea where PeleLMeX fits into combustion codes.
from joss-reviews.
Review checklist for @xzz105
Conflict of interest
- I confirm that I have read the JOSS conflict of interest (COI) policy and that: I have no COIs with reviewing this work or that any perceived COIs have been waived by JOSS for the purpose of this review.
Code of Conduct
- I confirm that I read and will adhere to the JOSS code of conduct.
General checks
- Repository: Is the source code for this software available at the https://github.com/AMReX-Combustion/PeleLMeX?
- License: Does the repository contain a plain-text LICENSE file with the contents of an OSI approved software license?
- Contribution and authorship: Has the submitting author (@esclapez) made major contributions to the software? Does the full list of paper authors seem appropriate and complete?
- Substantial scholarly effort: Does this submission meet the scope eligibility described in the JOSS guidelines
- Data sharing: If the paper contains original data, data are accessible to the reviewers. If the paper contains no original data, please check this item.
- Reproducibility: If the paper contains original results, results are entirely reproducible by reviewers. If the paper contains no original results, please check this item.
- Human and animal research: If the paper contains original data research on humans subjects or animals, does it comply with JOSS's human participants research policy and/or animal research policy? If the paper contains no such data, please check this item.
Functionality
- Installation: Does installation proceed as outlined in the documentation?
- Functionality: Have the functional claims of the software been confirmed?
- Performance: If there are any performance claims of the software, have they been confirmed? (If there are no claims, please check off this item.)
Documentation
- A statement of need: Do the authors clearly state what problems the software is designed to solve and who the target audience is?
- Installation instructions: Is there a clearly-stated list of dependencies? Ideally these should be handled with an automated package management solution.
- Example usage: Do the authors include examples of how to use the software (ideally to solve real-world analysis problems).
- Functionality documentation: Is the core functionality of the software documented to a satisfactory level (e.g., API method documentation)?
- Automated tests: Are there automated tests or manual steps described so that the functionality of the software can be verified?
- Community guidelines: Are there clear guidelines for third parties wishing to 1) Contribute to the software 2) Report issues or problems with the software 3) Seek support
Software paper
- Summary: Has a clear description of the high-level functionality and purpose of the software for a diverse, non-specialist audience been provided?
- A statement of need: Does the paper have a section titled 'Statement of need' that clearly states what problems the software is designed to solve, who the target audience is, and its relation to other work?
- State of the field: Do the authors describe how this software compares to other commonly-used packages?
- Quality of writing: Is the paper well written (i.e., it does not require editing for structure, language, or writing quality)?
- References: Is the list of references complete, and is everything cited appropriately that should be cited (e.g., papers, datasets, software)? Do references in the text use the proper citation syntax?
from joss-reviews.
Related Issues (20)
- [PRE REVIEW]: Triglav: Iterative Refinement and Selection of Stable Features Using Shapley Values HOT 25
- [PRE REVIEW]: CRATE: A Python package to perform fast material simulations HOT 12
- [PRE REVIEW]: GIRFReco.jl: An open-source pipeline for spiral MRI reconstruction in Julia HOT 8
- [PRE REVIEW]: Pyafscgap.org: Open source multi-modal Python-based tools for NOAA AFSC RACE GAP HOT 30
- [REVIEW]: udpPacketManager: An International LOFAR Station Data (Pre-)Processor HOT 7
- [PRE REVIEW]: COOLEST: the COde-independent Organized LEns STandard HOT 11
- [REVIEW]: The Spreadsheet Energy System Model Generator (SESMG): A tool for the optimization of urban energy systems HOT 6
- [REVIEW]: 'Shinyscreen: Mass Spectrometry Data Inspection and Quality Checking Utility HOT 6
- [PRE REVIEW]: Tethys: a Spatiotemporal Downscaling Model for Global Water Demand HOT 35
- [PRE REVIEW]: H-RISK with NoiseModelling: a QGIS plugin to predict environmental noise and estimate health risks HOT 10
- [REVIEW]: Molearn: a Python package streamlining the design of generative models of biomolecular dynamics HOT 9
- [PRE REVIEW]: Pysersic: A Python package for determining galaxy structural properties via Bayesian inference, accelerated with jax HOT 11
- [REVIEW]: STITCHES: a Python package to amalgamate existing Earth system model output into new scenario realizations HOT 10
- [REVIEW]: bayes-toolbox: A Python package for Bayesian statistics HOT 10
- [PRE REVIEW]: q2-makarsa : A QIIME 2 plugin for network analysis of microbial data HOT 5
- [PRE REVIEW]: Bramble: adaptive common neighbor analysis (CNA) for the recognition of surface topologies in nanoparticles HOT 8
- [PRE REVIEW]: Bidsme: expandable bidsifier of brain imagery datasets HOT 9
- [PRE REVIEW]: SBMLtoODEjax: efficient simulation and optimization of ODE SBML models in JAX HOT 8
- [PRE REVIEW]: ELK: A python package for correcting, analyzing, and diagnosing TESS integrated light curves HOT 9
- [REVIEW]: NORDic: a Network-Oriented package for the Repurposing of Drugs HOT 6
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from joss-reviews.