Upgrade Unity version to 2021.3.34f1
- CI 수정(use gameci/builder@v4)
- readme 수정(unity version)
- resolve android AAR conflict
This PR has 40 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!
Quantification details
Label : Extra Small
Size : +22 -18
Percentile : 16%
Total files changed: 9
Change summary by file extension:
.yml : +8 -4
.md : +4 -4
.cs : +1 -1
.json : +7 -7
.txt : +2 -2
Change counts above are quantified counts, based on the PullRequestQuantifier customizations.
Why proper sizing of changes matters
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 detected.
- 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
Excludedsection from yourprquantifier.yamlcontext profile. - Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your
prquantifier.yamlcontext profile. - Only use the labels that matter to you, see context specification to customize your
prquantifier.yamlcontext profile.
- Change your engineering behaviors
- For PRs that fall outside of the desired spectrum, review the details and check if:
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- For PRs that fall outside of the desired spectrum, review the details and check if:
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.
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This PR has 56 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!
Quantification details
Label : Small
Size : +38 -18
Percentile : 22.4%
Total files changed: 10
Change summary by file extension:
.yml : +8 -4
.md : +4 -4
.cs : +1 -1
.json : +7 -7
.xml : +16 -0
.txt : +2 -2
Change counts above are quantified counts, based on the PullRequestQuantifier customizations.
Why proper sizing of changes matters
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 detected.
- 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
Excludedsection from yourprquantifier.yamlcontext profile. - Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your
prquantifier.yamlcontext profile. - Only use the labels that matter to you, see context specification to customize your
prquantifier.yamlcontext 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).
- For PRs that fall outside of the desired spectrum, review the details and check if:
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.
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This PR has 74 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!
Quantification details
Label : Small
Size : +55 -19
Percentile : 29.6%
Total files changed: 13
Change summary by file extension:
.yml : +8 -4
.md : +4 -4
.properties : +9 -0
.meta : +7 -0
.cs : +1 -1
.json : +7 -7
.xml : +17 -1
.txt : +2 -2
Change counts above are quantified counts, based on the PullRequestQuantifier customizations.
Why proper sizing of changes matters
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 detected.
- 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
Excludedsection from yourprquantifier.yamlcontext profile. - Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your
prquantifier.yamlcontext profile. - Only use the labels that matter to you, see context specification to customize your
prquantifier.yamlcontext 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).
- For PRs that fall outside of the desired spectrum, review the details and check if:
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.
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This PR has 1158 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!
Quantification details
Label : Extra Large
Size : +117 -1041
Percentile : 100%
Total files changed: 77
Change summary by file extension:
.yml : +8 -4
.md : +4 -4
.xml : +43 -3
.meta : +41 -1020
.properties : +11 -0
.cs : +1 -1
.json : +7 -7
.txt : +2 -2
Change counts above are quantified counts, based on the PullRequestQuantifier customizations.
Why proper sizing of changes matters
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 detected.
- 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
Excludedsection from yourprquantifier.yamlcontext profile. - Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your
prquantifier.yamlcontext profile. - Only use the labels that matter to you, see context specification to customize your
prquantifier.yamlcontext 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).
- For PRs that fall outside of the desired spectrum, review the details and check if:
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.
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This PR has 1248 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!
Quantification details
Label : Extra Large
Size : +185 -1063
Percentile : 100%
Total files changed: 83
Change summary by file extension:
.yml : +8 -4
.md : +4 -4
.xml : +43 -3
.meta : +41 -1020
.properties : +11 -0
.prefab : +68 -22
.cs : +1 -1
.json : +7 -7
.txt : +2 -2
Change counts above are quantified counts, based on the PullRequestQuantifier customizations.
Why proper sizing of changes matters
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 detected.
- 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
Excludedsection from yourprquantifier.yamlcontext profile. - Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your
prquantifier.yamlcontext profile. - Only use the labels that matter to you, see context specification to customize your
prquantifier.yamlcontext 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).
- For PRs that fall outside of the desired spectrum, review the details and check if:
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.
Was this comment helpful? :thumbsup: :ok_hand: :thumbsdown: (Email) Customize PullRequestQuantifier for this repository.
This PR has 1248 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!
Quantification details
Label : Extra Large
Size : +185 -1063
Percentile : 100%
Total files changed: 83
Change summary by file extension:
.yml : +8 -4
.md : +4 -4
.xml : +43 -3
.meta : +41 -1020
.properties : +11 -0
.prefab : +68 -22
.cs : +1 -1
.json : +7 -7
.txt : +2 -2
Change counts above are quantified counts, based on the PullRequestQuantifier customizations.
Why proper sizing of changes matters
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 detected.
- 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
Excludedsection from yourprquantifier.yamlcontext profile. - Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your
prquantifier.yamlcontext profile. - Only use the labels that matter to you, see context specification to customize your
prquantifier.yamlcontext 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).
- For PRs that fall outside of the desired spectrum, review the details and check if:
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.
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This PR has 1246 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!
Quantification details
Label : Extra Large
Size : +183 -1063
Percentile : 100%
Total files changed: 83
Change summary by file extension:
.yml : +6 -4
.md : +4 -4
.xml : +43 -3
.meta : +41 -1020
.properties : +11 -0
.prefab : +68 -22
.cs : +1 -1
.json : +7 -7
.txt : +2 -2
Change counts above are quantified counts, based on the PullRequestQuantifier customizations.
Why proper sizing of changes matters
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 detected.
- 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
Excludedsection from yourprquantifier.yamlcontext profile. - Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your
prquantifier.yamlcontext profile. - Only use the labels that matter to you, see context specification to customize your
prquantifier.yamlcontext 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).
- For PRs that fall outside of the desired spectrum, review the details and check if:
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.
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This PR has 1289 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!
Quantification details
Label : Extra Large
Size : +215 -1074
Percentile : 100%
Total files changed: 84
Change summary by file extension:
.yml : +6 -4
.md : +4 -4
.xml : +43 -3
.meta : +41 -1020
.properties : +11 -0
.prefab : +68 -22
.cs : +1 -1
.json : +7 -7
.asset : +32 -11
.txt : +2 -2
Change counts above are quantified counts, based on the PullRequestQuantifier customizations.
Why proper sizing of changes matters
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 detected.
- 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
Excludedsection from yourprquantifier.yamlcontext profile. - Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your
prquantifier.yamlcontext profile. - Only use the labels that matter to you, see context specification to customize your
prquantifier.yamlcontext 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).
- For PRs that fall outside of the desired spectrum, review the details and check if:
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.
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This PR has 1273 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!
Quantification details
Label : Extra Large
Size : +195 -1078
Percentile : 100%
Total files changed: 84
Change summary by file extension:
.yml : +6 -4
.md : +4 -4
.xml : +22 -6
.meta : +41 -1020
.properties : +11 -0
.prefab : +68 -22
.cs : +1 -1
.json : +7 -7
.asset : +33 -12
.txt : +2 -2
Change counts above are quantified counts, based on the PullRequestQuantifier customizations.
Why proper sizing of changes matters
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 detected.
- 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
Excludedsection from yourprquantifier.yamlcontext profile. - Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your
prquantifier.yamlcontext profile. - Only use the labels that matter to you, see context specification to customize your
prquantifier.yamlcontext 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).
- For PRs that fall outside of the desired spectrum, review the details and check if:
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.
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오래된 안드로이드 sdk 관련 의존성제거문제 수정해서 다시적용해야함
This PR has 1269 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!
Quantification details
Label : Extra Large
Size : +193 -1076
Percentile : 100%
Total files changed: 84
Change summary by file extension:
.yml : +6 -4
.md : +4 -4
.xml : +22 -6
.meta : +41 -1020
.properties : +11 -0
.prefab : +68 -22
.cs : +1 -1
.json : +7 -7
.asset : +31 -10
.txt : +2 -2
Change counts above are quantified counts, based on the PullRequestQuantifier customizations.
Why proper sizing of changes matters
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 detected.
- 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
Excludedsection from yourprquantifier.yamlcontext profile. - Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your
prquantifier.yamlcontext profile. - Only use the labels that matter to you, see context specification to customize your
prquantifier.yamlcontext 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).
- For PRs that fall outside of the desired spectrum, review the details and check if:
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.
Was this comment helpful? :thumbsup: :ok_hand: :thumbsdown: (Email) Customize PullRequestQuantifier for this repository.
This PR has 1270 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!
Quantification details
Label : Extra Large
Size : +194 -1076
Percentile : 100%
Total files changed: 84
Change summary by file extension:
.yml : +7 -4
.md : +4 -4
.xml : +22 -6
.meta : +41 -1020
.properties : +11 -0
.prefab : +68 -22
.cs : +1 -1
.json : +7 -7
.asset : +31 -10
.txt : +2 -2
Change counts above are quantified counts, based on the PullRequestQuantifier customizations.
Why proper sizing of changes matters
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 detected.
- 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
Excludedsection from yourprquantifier.yamlcontext profile. - Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your
prquantifier.yamlcontext profile. - Only use the labels that matter to you, see context specification to customize your
prquantifier.yamlcontext 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).
- For PRs that fall outside of the desired spectrum, review the details and check if:
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.
Was this comment helpful? :thumbsup: :ok_hand: :thumbsdown: (Email) Customize PullRequestQuantifier for this repository.
This PR has 1266 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!
Quantification details
Label : Extra Large
Size : +192 -1074
Percentile : 100%
Total files changed: 84
Change summary by file extension:
.yml : +7 -4
.md : +4 -4
.xml : +22 -6
.meta : +41 -1020
.properties : +11 -0
.prefab : +68 -22
.cs : +1 -1
.json : +7 -7
.asset : +29 -8
.txt : +2 -2
Change counts above are quantified counts, based on the PullRequestQuantifier customizations.
Why proper sizing of changes matters
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 detected.
- 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
Excludedsection from yourprquantifier.yamlcontext profile. - Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your
prquantifier.yamlcontext profile. - Only use the labels that matter to you, see context specification to customize your
prquantifier.yamlcontext 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).
- For PRs that fall outside of the desired spectrum, review the details and check if:
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.
Was this comment helpful? :thumbsup: :ok_hand: :thumbsdown: (Email) Customize PullRequestQuantifier for this repository.