Open Source Software Initiative Progress Update

 
FGAI4H-J-045
 
E-meeting, 30 September – 2 October 2020
 
How did it start ?
 
The focus group started during meeting G to
discuss the potential of a modular annotation tool
that could be shared by the whole focus group
During meeting H the first thoughts on the
possibility of a joint tool where outlined in
document FG-AI4H-H-038-R01
This workstream was established to draft the
requirements and specifications for this annotation
tool
This group had 11 members
 
Previous work
 
We met 3 times in-between meeting H and I
Discussed about high level requirements:
End to End
Global Scope
Meta-data and Bias
Quality
Had 2 annotation tool presentations (hulilab, TG-
Symptoms)
Reviewed questionnaire by Shan and Sebastian
 
Since meeting I
 
Shan and Sebastian: contacted TG for collecting
(high-level) annotation requirements
https://docs.google.com/forms/d/1wW3xt5u5BVPrrqhCi
mBzcB5ltfTjBnGsn71ZWOiTNt8/edit#responses
Analyzed the results from Shans survey and the
tools the TG mentioned
Started some more formal analysis for the
functional and no functional requirements
Started outlining on software design based on the
requirements
Set up a collaboration env. and a team
 
Open Source Software
 
The Open Source includes:
 
Data Acquisition Package (DAP)
Data Storage Package (DP)
Annotation Package (AP)
Prediction Package (PP)
Evaluation Package (EP)
Reporting Package (RP)
 
What we do
 
1.
We draft a requirement document
https://docs.google.com/document/d/1eksm8dm7MYuNjtThRp-zmwlxvFXUrjSjDnkpuMwZNJ4/edit#heading=h.z6ne0og04bp5
2.
Build a functionality matrix
https://docs.google.com/spreadsheets/d/1t3uwPQIKFKJejtjINWOkHR-h7nlZsuYy4pqhIdCSiEo/edit?usp=sharing
3.
Create Epics and Features in Azure DevOps
https://dev.azure.com/mllabai/FG-AI4H%20Assessment%20Platform
4.
Write User Stories
5.
Evaluate the workload to deliver functionalities
1, 2, 3, 5, 8, 13, 20, 40 and 100
6.
Prioritize Features’ development
 
 
 
How we work
 
We have a bi-weekly call with module drivers
Module drivers organize the work and meetings in their group
We use Slack to communicate
Slack messages are mirrored to Teams
We use Azure DevOps to formalize the requirements and effort estimate
Azure Devops is used to store the source code
 
 
Our Team
 
Open Source Group Driver : Marc Lecoultre
Data Acquisition Package (DAP) : TBD
Data Storage Package (DP): Andrea Romaoli Garcia ()
Annotation Package (AP) : Marc Lecoultre
Prediction Package (PP) : TBD
Evaluation Package (EP) : Candidates: Luis Oala, Elora, Jana Fehr, Ananya Gangavarapu
Reporting Package (RP) : Pradeep Balachandran
 
Members (20):
Ananya Gangavarapu, Andrea Romaoli Garcia, Dominik a Schneider, Eva Weicken, Jhonatan Tirado,
Joachim Krois, Oala Luis, Pradeep Balachandran, Raymond Francis Sarmiento, Saul Calderon Ramirez, Shan
Xu, Steffen Vogler, William Wasswa, Harpreet Singh, Henry Hoffmann, Janis Reinelt, Ricardo Brenes,
Sebastian Bosse, Clemens Schoell, Marc Lecoultre
 
Next Steps
 
Start building functionality matrix for all modules
Define features and estimates
Define the MVP
Start development
Get fundings
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The Open Source Software initiative progress update provides insights into the work accomplished during e-meetings, focusing on the development of a modular annotation tool shared by a focus group. The group's activities, such as drafting requirements, analyzing survey results, and setting up collaboration environments, are detailed. The initiative also encompasses various software packages for data acquisition, storage, annotation, prediction, evaluation, and reporting. Key tasks include drafting requirement documents, building a functionality matrix, creating epics and features, writing user stories, evaluating workloads, and prioritizing feature development.

  • Open Source Software
  • Initiative Progress
  • Modular Annotation Tool
  • Software Development
  • Collaboration

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  1. FGAI4H-J-045 E-meeting, 30 September 2 October 2020 Source: Editors Title: Open Source Software Purpose: Discussion Contact: Marc Lecoultre E-mail: ml@mllab.ai Abstract: This PPT contains a feedback on the work accomplished by the Open Source Software initiative in-between meetings I and J.

  2. How did it start ? The focus group started during meeting G to discuss the potential of a modular annotation tool that could be shared by the whole focus group During meeting H the first thoughts on the possibility of a joint tool where outlined in document FG-AI4H-H-038-R01 This workstream was established to draft the requirements and specifications for this annotation tool This group had 11 members

  3. Previous work We met 3 times in-between meeting H and I Discussed about high level requirements: End to End Global Scope Meta-data and Bias Quality Had 2 annotation tool presentations (hulilab, TG- Symptoms) Reviewed questionnaire by Shan and Sebastian

  4. Since meeting I Shan and Sebastian: contacted TG for collecting (high-level) annotation requirements https://docs.google.com/forms/d/1wW3xt5u5BVPrrqhCi mBzcB5ltfTjBnGsn71ZWOiTNt8/edit#responses Analyzed the results from Shans survey and the tools the TG mentioned Started some more formal analysis for the functional and no functional requirements Started outlining on software design based on the requirements Set up a collaboration env. and a team

  5. Open Source Software The Open Source includes: Data Acquisition Package (DAP) Data Storage Package (DP) Annotation Package (AP) Prediction Package (PP) Evaluation Package (EP) Reporting Package (RP)

  6. What we do 1. We draft a requirement document https://docs.google.com/document/d/1eksm8dm7MYuNjtThRp-zmwlxvFXUrjSjDnkpuMwZNJ4/edit#heading=h.z6ne0og04bp5 2. Build a functionality matrix https://docs.google.com/spreadsheets/d/1t3uwPQIKFKJejtjINWOkHR-h7nlZsuYy4pqhIdCSiEo/edit?usp=sharing 3. Create Epics and Features in Azure DevOps https://dev.azure.com/mllabai/FG-AI4H%20Assessment%20Platform 4. Write User Stories 5. Evaluate the workload to deliver functionalities 1, 2, 3, 5, 8, 13, 20, 40 and 100 6. Prioritize Features development

  7. How we work We have a bi-weekly call with module drivers Module drivers organize the work and meetings in their group We use Slack to communicate Slack messages are mirrored to Teams We use Azure DevOps to formalize the requirements and effort estimate Azure Devops is used to store the source code

  8. Our Team Open Source Group Driver : Marc Lecoultre Data Acquisition Package (DAP) : TBD Data Storage Package (DP): Andrea Romaoli Garcia () Annotation Package (AP) : Marc Lecoultre Prediction Package (PP) : TBD Evaluation Package (EP) : Candidates: Luis Oala, Elora, Jana Fehr, Ananya Gangavarapu Reporting Package (RP) : Pradeep Balachandran Members (20): Ananya Gangavarapu, Andrea Romaoli Garcia, Dominik a Schneider, Eva Weicken, Jhonatan Tirado, Joachim Krois, Oala Luis, Pradeep Balachandran, Raymond Francis Sarmiento, Saul Calderon Ramirez, Shan Xu, Steffen Vogler, William Wasswa, Harpreet Singh, Henry Hoffmann, Janis Reinelt, Ricardo Brenes, Sebastian Bosse, Clemens Schoell, Marc Lecoultre

  9. Next Steps Start building functionality matrix for all modules Define features and estimates Define the MVP Start development Get fundings

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