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Here's the process  we're following. Update this if it changes.

Estimation process:

1. Get all authors of all files, using the file headers and git log.
2. Create a table of statistics for each section and each file
   1. Author name and email, by volume of code (lines)
   2. create a CSV for each section and each file
3. Create a report that can summarize sections, authors, code volume

Notes:

• First pass can omit code volume
• Ideally process would be completely automated, one shell or python script

Overview:

1. For each section, clear it:
   1. Get all authors of all files.
   2. Do the easy files first:
      1. Find the subset of files that have only NuttX committers as authors. (Use the authors.sh tool.)
      2. Mark the files' licenses using Fossology
      3. Get Individual Contributor License Agreements (ICLAs) from all the committers that don't have them. Update the list of authors with ICLAs.
      4. When all ICLAs for these files have been submitted, clear the files in Fossology.
      5. Update the license headers with the licenseheaders.py tool
      6. Generate a PR for Greg and others to carefully review
   3. Do the harder files next:
      1. Find the subset of files that have authors who are not NuttX committers. (Use the authors.sh tool.)
      2. Mark the files' licenses using Fossology
      3. Get ICLAs from all the authors that don't have them. Update the list of authors with ICLAs.
      4. When all ICLAs for these files have been submitted, clear the files in Fossology.
      5. Update the license headers with the licenseheaders.py tool
      6. Generate a PR for Greg and others to carefully review
   4. Mark this section done.
2. When all sections are cleared, we are done. Generate a report and submit to Apache.
3. Celebrate!

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