Label      : Extra Large
Size       : +4795 -2632
Percentile : 100%

Total files changed: 157

Change summary by file extension:
.psm1 : +760 -743
.yml : +1098 -274
.spelling : +28 -1
.props : +3 -2
.md : +944 -798
.json : +926 -15
.txt : +118 -57
.wxs : +137 -5
.config : +1 -1
.yaml : +0 -0
.csproj : +42 -42
.cs : +176 -210
.psd1 : +17 -32
.resx : +6 -0
.lock : +0 -0
.ps1 : +538 -92
docker/tests/Templates/centos7/Dockerfile : +0 -19
docker/tests/Templates/debian.9/Dockerfile : +0 -25
docker/tests/Templates/fedora28/Dockerfile : +0 -22
docker/tests/Templates/fxdependent-centos7/Dockerfile : +0 -25
docker/tests/Templates/fxdependent-debian.9/Dockerfile : +0 -26
docker/tests/Templates/fxdependent-dotnetsdk-latest/Dockerfile : +0 -26
docker/tests/Templates/fxdependent-fedora28/Dockerfile : +0 -32
docker/tests/Templates/fxdependent-opensuse42.3/Dockerfile : +0 -35
docker/tests/Templates/fxdependent-ubuntu16.04/Dockerfile : +0 -33
docker/tests/Templates/fxdependent-ubuntu18.04/Dockerfile : +0 -26
docker/tests/Templates/opensuse42.3/Dockerfile : +0 -31
docker/tests/Templates/ubuntu16.04/Dockerfile : +0 -25
docker/tests/Templates/ubuntu18.04/Dockerfile : +0 -25
test/docker/networktest/Dockerfile : +1 -1
tools/releaseBuild/Images/microsoft_powershell_alpine3/Dockerfile : +0 -9

Change counts above are quantified counts, based on the PullRequestQuantifier customizations.

Optimal pull request sizes drive a better predictable PR flow as they strike a
balance between between PR complexity and PR review overhead. PRs within the
optimal size (typical small, or medium sized PRs) mean:

• Fast and predictable releases to production:
  • Optimal size changes are more likely to be reviewed faster with fewer
    iterations.
  • Similarity in low PR complexity drives similar review times.
• Review quality is likely higher as complexity is lower:
  • Bugs are more likely to be detected.
  • Code inconsistencies are more likely to be detetcted.
• Knowledge sharing is improved within the participants:
  • Small portions can be assimilated better.
• Better engineering practices are exercised:
  • Solving big problems by dividing them in well contained, smaller problems.
  • Exercising separation of concerns within the code changes.

What can I do to optimize my changes

• Use the PullRequestQuantifier to quantify your PR accurately
  • Create a context profile for your repo using the context generator
  • Exclude files that are not necessary to be reviewed or do not increase the review complexity. Example: Autogenerated code, docs, project IDE setting files, binaries, etc. Check out the Excluded section from your prquantifier.yaml context profile.
  • Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your prquantifier.yaml context profile.
  • Only use the labels that matter to you, see context specification to customize your prquantifier.yaml context profile.
• Change your engineering behaviors
  • For PRs that fall outside of the desired spectrum, review the details and check if:
    • Your PR could be split in smaller, self-contained PRs instead
    • Your PR only solves one particular issue. (For example, don't refactor and code new features in the same PR).

How to interpret the change counts in git diff output

• One line was added: +1 -0
• One line was deleted: +0 -1
• One line was modified: +1 -1 (git diff doesn't know about modified, it will
  interpret that line like one addition plus one deletion)
• Change percentiles: Change characteristics (addition, deletion, modification)
  of this PR in relation to all other PRs within the repository.