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repowisebaneeishaque/Android-Malware-Detection

Commits

Every commit scored for change-risk against this repo's own history, so 'elevated' means elevated here rather than on some global curve.

Needs review

3of 8 scored

3 commits sit in this repo's top risk tercile, which is 38% of the 8scored. The cut is drawn against this codebase's own history rather than a global curve, so a quiet repo still fills its top band, and here it starts at 9.4 out of 10. What pushes a commit up is size and spread together: a large change confined to one area scores below a smaller one scattered across a dozen files.

Fix commits00%Commits whose subject reads as a bug fix rather than new work.Change diffusion1.43bitsShannon entropy of a commit's churn across its files. Zero is a single file, and every extra bit is a doubling of how widely the change spread.Review threshold9.4out of 10Score a commit has to clear to land in this repo's top tercile.

How the work changed shape

Commit categories over time, read off the subject line. Fixes carry the accent because that is the series this chart exists to show.

How this repo's commit mix shifts over time.

Feature13%
Deps13%
Other75%

Review-priority queue

Ranked by change-risk, highest first. Priority is a tercile of this repo's own distribution, so a quiet repo still fills its top band.

Commit review-priority queue
#CommitAuthorWhenLinesRiskTop driver
1
cf97ae60Dataset setup within repository (for Gitpod IDE)
Banee Ishaque K
2y ago+88.1M -2
94%Elevated
more lines added than baseline
2
042c3ee9Add files via upload
Akhilesh Sharma
5y ago+11.9K -0
81%Elevated
more lines added than baseline
3
0a4d33dfInitial commit
Akhilesh Sharma
5y ago+676 -0
69%Elevated
more lines added than baseline
4
1b2aa588gitignore integration
Banee Ishaque K
2y ago+469 -0
56%Typical
more lines added than baseline
5
5dffcb82Update LICENSE
Akhilesh Sharma
5y ago+21 -674
44%Typical
more lines added than baseline
6
f2b07c0crequirements file integration
Banee Ishaque K
2y ago+4 -0
31%Below typical
fewer lines added than baseline
7
66bf8be9Project root relative path for dataset
Banee Ishaque K
2y ago+2 -2
19%Below typical
fewer lines added than baseline
8
353df906pyenv integration
Banee Ishaque K
2y ago+1 -0
6%Below typical
fewer lines added than baseline
  • cf97ae60Dataset setup within repository (for Gitpod IDE)
    Author
    Banee Ishaque K
    When
    2y ago
    Lines
    +88.1M -2
    Risk
    94%Elevated
  • 042c3ee9Add files via upload
    Author
    Akhilesh Sharma
    When
    5y ago
    Lines
    +11.9K -0
    Risk
    81%Elevated
  • 0a4d33dfInitial commit
    Author
    Akhilesh Sharma
    When
    5y ago
    Lines
    +676 -0
    Risk
    69%Elevated
  • 1b2aa588gitignore integration
    Author
    Banee Ishaque K
    When
    2y ago
    Lines
    +469 -0
    Risk
    56%Typical
  • 5dffcb82Update LICENSE
    Author
    Akhilesh Sharma
    When
    5y ago
    Lines
    +21 -674
    Risk
    44%Typical
  • f2b07c0crequirements file integration
    Author
    Banee Ishaque K
    When
    2y ago
    Lines
    +4 -0
    Risk
    31%Below typical
  • 66bf8be9Project root relative path for dataset
    Author
    Banee Ishaque K
    When
    2y ago
    Lines
    +2 -2
    Risk
    19%Below typical
  • 353df906pyenv integration
    Author
    Banee Ishaque K
    When
    2y ago
    Lines
    +1 -0
    Risk
    6%Below typical
Showing 8 of 8 commits

How the score behaves here

Change risk →

Two views of the same model: where the cuts fall, and what commit shape lands you above them.

Score distribution

Every scored commit, binned on the raw 0 to 10 score rather than the percentile. Percentile ranks are uniform by construction, so that axis has no shape to draw. The dashed lines are the tercile cuts behind each row's priority pill.

02typical ↑↑ elevated0.05.010.0Change-risk score →
Below typical
Typical
Elevated

Size against diffusion

The 8 most recent commits, on their own recency sample rather than the feed above: that defaults to risk-sorted, so reusing it would plot only the top tercile and call it the spread. Big and scattered is what the model penalises. Click a dot to open it.

1101001,00010,000100,0001,000,00010,000,000Lines changed (log) →0.011.4Diffusion →
Below typical3
Typical2
Elevated3

Commit history for baneeishaque/Android-Malware-Detection

baneeishaque/Android-Malware-Detection has 8 commits in its history from 2 contributors, the first of them Nov 4, 2020. Every commit is scored for change risk from its size, spread and the history of the files it touches.