CMSE 495

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Michigan State University Data Science Capstone.

View the Project on GitHub msu-cmse-courses/cmse495-SS25

Figure Reproducibility initial documentation

Agenda (80 Minutes)


Figure Reviews

This is a tri-pod team paring exercise. Your team will work with another team to review your figure generation. Combine your teams and split up in to two groups (some people from each team). Have one group review your teams installation and figure instructions and the other group review the other teams instructions. This should feel very similar to what we did a few weeks ago, you can just repeat the review. Hopefully things have been updated based on previous feedback and now are working better.

Tripod V2 Team A Team B Team C
1 CEPI HFH_MT HAP
2 Documenters MSU_HC HFH_RC
3 HFH_QC HFH_PP Grassroots
4 MSU_JO MSU_WD MSU_GR
5 TechSmith TwoSix QSIDE

Agenda

In your group, have someone that is not from the code development team to try to install the software and review the figure instructions. Have the group members from the development team hold back and only give advice and support if there is a problem. The idea is to streamline the process so that the figure instructions are sufficient for someone outside of the development team to be able to reproduce the figure (within reason) without needing to have a developer to help. As a group take lots of notes and review the documentation to the development group some constructive feedback. If you are a member of the code’s development team, use this as an opportunity to fix problems as they are discovered.

As a group, prepare a report for the instructor and the development team. This report should provide the following:

This is a group effort, use the attached google document to submit the report to the instructors.


Group meeting

Conduct a group meeting for the remainder of the hour. Check your project milestones, progress and make plans to practice and finish your presentation by next week.

Written by Dr. Dirk Colbry, Michigan State University Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.